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aws.batch.JobQueue
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Try AWS Native preview for resources not in the classic version.
Provides a Batch Job Queue resource.
Example Usage
Basic Job Queue
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const testQueue = new aws.batch.JobQueue("test_queue", {
name: "tf-test-batch-job-queue",
state: "ENABLED",
priority: 1,
computeEnvironmentOrders: [
{
order: 1,
computeEnvironment: testEnvironment1.arn,
},
{
order: 2,
computeEnvironment: testEnvironment2.arn,
},
],
});
import pulumi
import pulumi_aws as aws
test_queue = aws.batch.JobQueue("test_queue",
name="tf-test-batch-job-queue",
state="ENABLED",
priority=1,
compute_environment_orders=[
{
"order": 1,
"computeEnvironment": test_environment1["arn"],
},
{
"order": 2,
"computeEnvironment": test_environment2["arn"],
},
])
package main
import (
"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/batch"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := batch.NewJobQueue(ctx, "test_queue", &batch.JobQueueArgs{
Name: pulumi.String("tf-test-batch-job-queue"),
State: pulumi.String("ENABLED"),
Priority: pulumi.Int(1),
ComputeEnvironmentOrders: batch.JobQueueComputeEnvironmentOrderArray{
&batch.JobQueueComputeEnvironmentOrderArgs{
Order: pulumi.Int(1),
ComputeEnvironment: pulumi.Any(testEnvironment1.Arn),
},
&batch.JobQueueComputeEnvironmentOrderArgs{
Order: pulumi.Int(2),
ComputeEnvironment: pulumi.Any(testEnvironment2.Arn),
},
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
var testQueue = new Aws.Batch.JobQueue("test_queue", new()
{
Name = "tf-test-batch-job-queue",
State = "ENABLED",
Priority = 1,
ComputeEnvironmentOrders = new[]
{
new Aws.Batch.Inputs.JobQueueComputeEnvironmentOrderArgs
{
Order = 1,
ComputeEnvironment = testEnvironment1.Arn,
},
new Aws.Batch.Inputs.JobQueueComputeEnvironmentOrderArgs
{
Order = 2,
ComputeEnvironment = testEnvironment2.Arn,
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.batch.JobQueue;
import com.pulumi.aws.batch.JobQueueArgs;
import com.pulumi.aws.batch.inputs.JobQueueComputeEnvironmentOrderArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var testQueue = new JobQueue("testQueue", JobQueueArgs.builder()
.name("tf-test-batch-job-queue")
.state("ENABLED")
.priority(1)
.computeEnvironmentOrders(
JobQueueComputeEnvironmentOrderArgs.builder()
.order(1)
.computeEnvironment(testEnvironment1.arn())
.build(),
JobQueueComputeEnvironmentOrderArgs.builder()
.order(2)
.computeEnvironment(testEnvironment2.arn())
.build())
.build());
}
}
resources:
testQueue:
type: aws:batch:JobQueue
name: test_queue
properties:
name: tf-test-batch-job-queue
state: ENABLED
priority: 1
computeEnvironmentOrders:
- order: 1
computeEnvironment: ${testEnvironment1.arn}
- order: 2
computeEnvironment: ${testEnvironment2.arn}
Job Queue with a fair share scheduling policy
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const example = new aws.batch.SchedulingPolicy("example", {
name: "example",
fairSharePolicy: {
computeReservation: 1,
shareDecaySeconds: 3600,
shareDistributions: [{
shareIdentifier: "A1*",
weightFactor: 0.1,
}],
},
});
const exampleJobQueue = new aws.batch.JobQueue("example", {
name: "tf-test-batch-job-queue",
schedulingPolicyArn: example.arn,
state: "ENABLED",
priority: 1,
computeEnvironmentOrders: [
{
order: 1,
computeEnvironment: testEnvironment1.arn,
},
{
order: 2,
computeEnvironment: testEnvironment2.arn,
},
],
});
import pulumi
import pulumi_aws as aws
example = aws.batch.SchedulingPolicy("example",
name="example",
fair_share_policy={
"computeReservation": 1,
"shareDecaySeconds": 3600,
"shareDistributions": [{
"shareIdentifier": "A1*",
"weightFactor": 0.1,
}],
})
example_job_queue = aws.batch.JobQueue("example",
name="tf-test-batch-job-queue",
scheduling_policy_arn=example.arn,
state="ENABLED",
priority=1,
compute_environment_orders=[
{
"order": 1,
"computeEnvironment": test_environment1["arn"],
},
{
"order": 2,
"computeEnvironment": test_environment2["arn"],
},
])
package main
import (
"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/batch"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
example, err := batch.NewSchedulingPolicy(ctx, "example", &batch.SchedulingPolicyArgs{
Name: pulumi.String("example"),
FairSharePolicy: &batch.SchedulingPolicyFairSharePolicyArgs{
ComputeReservation: pulumi.Int(1),
ShareDecaySeconds: pulumi.Int(3600),
ShareDistributions: batch.SchedulingPolicyFairSharePolicyShareDistributionArray{
&batch.SchedulingPolicyFairSharePolicyShareDistributionArgs{
ShareIdentifier: pulumi.String("A1*"),
WeightFactor: pulumi.Float64(0.1),
},
},
},
})
if err != nil {
return err
}
_, err = batch.NewJobQueue(ctx, "example", &batch.JobQueueArgs{
Name: pulumi.String("tf-test-batch-job-queue"),
SchedulingPolicyArn: example.Arn,
State: pulumi.String("ENABLED"),
Priority: pulumi.Int(1),
ComputeEnvironmentOrders: batch.JobQueueComputeEnvironmentOrderArray{
&batch.JobQueueComputeEnvironmentOrderArgs{
Order: pulumi.Int(1),
ComputeEnvironment: pulumi.Any(testEnvironment1.Arn),
},
&batch.JobQueueComputeEnvironmentOrderArgs{
Order: pulumi.Int(2),
ComputeEnvironment: pulumi.Any(testEnvironment2.Arn),
},
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
var example = new Aws.Batch.SchedulingPolicy("example", new()
{
Name = "example",
FairSharePolicy = new Aws.Batch.Inputs.SchedulingPolicyFairSharePolicyArgs
{
ComputeReservation = 1,
ShareDecaySeconds = 3600,
ShareDistributions = new[]
{
new Aws.Batch.Inputs.SchedulingPolicyFairSharePolicyShareDistributionArgs
{
ShareIdentifier = "A1*",
WeightFactor = 0.1,
},
},
},
});
var exampleJobQueue = new Aws.Batch.JobQueue("example", new()
{
Name = "tf-test-batch-job-queue",
SchedulingPolicyArn = example.Arn,
State = "ENABLED",
Priority = 1,
ComputeEnvironmentOrders = new[]
{
new Aws.Batch.Inputs.JobQueueComputeEnvironmentOrderArgs
{
Order = 1,
ComputeEnvironment = testEnvironment1.Arn,
},
new Aws.Batch.Inputs.JobQueueComputeEnvironmentOrderArgs
{
Order = 2,
ComputeEnvironment = testEnvironment2.Arn,
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.batch.SchedulingPolicy;
import com.pulumi.aws.batch.SchedulingPolicyArgs;
import com.pulumi.aws.batch.inputs.SchedulingPolicyFairSharePolicyArgs;
import com.pulumi.aws.batch.JobQueue;
import com.pulumi.aws.batch.JobQueueArgs;
import com.pulumi.aws.batch.inputs.JobQueueComputeEnvironmentOrderArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var example = new SchedulingPolicy("example", SchedulingPolicyArgs.builder()
.name("example")
.fairSharePolicy(SchedulingPolicyFairSharePolicyArgs.builder()
.computeReservation(1)
.shareDecaySeconds(3600)
.shareDistributions(SchedulingPolicyFairSharePolicyShareDistributionArgs.builder()
.shareIdentifier("A1*")
.weightFactor(0.1)
.build())
.build())
.build());
var exampleJobQueue = new JobQueue("exampleJobQueue", JobQueueArgs.builder()
.name("tf-test-batch-job-queue")
.schedulingPolicyArn(example.arn())
.state("ENABLED")
.priority(1)
.computeEnvironmentOrders(
JobQueueComputeEnvironmentOrderArgs.builder()
.order(1)
.computeEnvironment(testEnvironment1.arn())
.build(),
JobQueueComputeEnvironmentOrderArgs.builder()
.order(2)
.computeEnvironment(testEnvironment2.arn())
.build())
.build());
}
}
resources:
example:
type: aws:batch:SchedulingPolicy
properties:
name: example
fairSharePolicy:
computeReservation: 1
shareDecaySeconds: 3600
shareDistributions:
- shareIdentifier: A1*
weightFactor: 0.1
exampleJobQueue:
type: aws:batch:JobQueue
name: example
properties:
name: tf-test-batch-job-queue
schedulingPolicyArn: ${example.arn}
state: ENABLED
priority: 1
computeEnvironmentOrders:
- order: 1
computeEnvironment: ${testEnvironment1.arn}
- order: 2
computeEnvironment: ${testEnvironment2.arn}
Create JobQueue Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new JobQueue(name: string, args: JobQueueArgs, opts?: CustomResourceOptions);
@overload
def JobQueue(resource_name: str,
args: JobQueueArgs,
opts: Optional[ResourceOptions] = None)
@overload
def JobQueue(resource_name: str,
opts: Optional[ResourceOptions] = None,
priority: Optional[int] = None,
state: Optional[str] = None,
compute_environment_orders: Optional[Sequence[JobQueueComputeEnvironmentOrderArgs]] = None,
compute_environments: Optional[Sequence[str]] = None,
name: Optional[str] = None,
scheduling_policy_arn: Optional[str] = None,
tags: Optional[Mapping[str, str]] = None,
timeouts: Optional[JobQueueTimeoutsArgs] = None)
func NewJobQueue(ctx *Context, name string, args JobQueueArgs, opts ...ResourceOption) (*JobQueue, error)
public JobQueue(string name, JobQueueArgs args, CustomResourceOptions? opts = null)
public JobQueue(String name, JobQueueArgs args)
public JobQueue(String name, JobQueueArgs args, CustomResourceOptions options)
type: aws:batch:JobQueue
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args JobQueueArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args JobQueueArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args JobQueueArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args JobQueueArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args JobQueueArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var jobQueueResource = new Aws.Batch.JobQueue("jobQueueResource", new()
{
Priority = 0,
State = "string",
ComputeEnvironmentOrders = new[]
{
new Aws.Batch.Inputs.JobQueueComputeEnvironmentOrderArgs
{
ComputeEnvironment = "string",
Order = 0,
},
},
Name = "string",
SchedulingPolicyArn = "string",
Tags =
{
{ "string", "string" },
},
Timeouts = new Aws.Batch.Inputs.JobQueueTimeoutsArgs
{
Create = "string",
Delete = "string",
Update = "string",
},
});
example, err := batch.NewJobQueue(ctx, "jobQueueResource", &batch.JobQueueArgs{
Priority: pulumi.Int(0),
State: pulumi.String("string"),
ComputeEnvironmentOrders: batch.JobQueueComputeEnvironmentOrderArray{
&batch.JobQueueComputeEnvironmentOrderArgs{
ComputeEnvironment: pulumi.String("string"),
Order: pulumi.Int(0),
},
},
Name: pulumi.String("string"),
SchedulingPolicyArn: pulumi.String("string"),
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
Timeouts: &batch.JobQueueTimeoutsArgs{
Create: pulumi.String("string"),
Delete: pulumi.String("string"),
Update: pulumi.String("string"),
},
})
var jobQueueResource = new JobQueue("jobQueueResource", JobQueueArgs.builder()
.priority(0)
.state("string")
.computeEnvironmentOrders(JobQueueComputeEnvironmentOrderArgs.builder()
.computeEnvironment("string")
.order(0)
.build())
.name("string")
.schedulingPolicyArn("string")
.tags(Map.of("string", "string"))
.timeouts(JobQueueTimeoutsArgs.builder()
.create("string")
.delete("string")
.update("string")
.build())
.build());
job_queue_resource = aws.batch.JobQueue("jobQueueResource",
priority=0,
state="string",
compute_environment_orders=[{
"computeEnvironment": "string",
"order": 0,
}],
name="string",
scheduling_policy_arn="string",
tags={
"string": "string",
},
timeouts={
"create": "string",
"delete": "string",
"update": "string",
})
const jobQueueResource = new aws.batch.JobQueue("jobQueueResource", {
priority: 0,
state: "string",
computeEnvironmentOrders: [{
computeEnvironment: "string",
order: 0,
}],
name: "string",
schedulingPolicyArn: "string",
tags: {
string: "string",
},
timeouts: {
create: "string",
"delete": "string",
update: "string",
},
});
type: aws:batch:JobQueue
properties:
computeEnvironmentOrders:
- computeEnvironment: string
order: 0
name: string
priority: 0
schedulingPolicyArn: string
state: string
tags:
string: string
timeouts:
create: string
delete: string
update: string
JobQueue Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The JobQueue resource accepts the following input properties:
- Priority int
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- State string
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- Compute
Environment List<JobOrders Queue Compute Environment Order> - 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.
- Compute
Environments List<string> - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - Name string
- Specifies the name of the job queue.
- Scheduling
Policy stringArn - The 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.
- Dictionary<string, string>
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - Timeouts
Job
Queue Timeouts
- Priority int
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- State string
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- Compute
Environment []JobOrders Queue Compute Environment Order Args - 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.
- Compute
Environments []string - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - Name string
- Specifies the name of the job queue.
- Scheduling
Policy stringArn - The 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.
- map[string]string
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - Timeouts
Job
Queue Timeouts Args
- priority Integer
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- state String
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- compute
Environment List<JobOrders Queue Compute Environment Order> - 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.
- compute
Environments List<String> - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - name String
- Specifies the name of the job queue.
- scheduling
Policy StringArn - The 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.
- Map<String,String>
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - timeouts
Job
Queue Timeouts
- priority number
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- state string
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- compute
Environment JobOrders Queue Compute Environment Order[] - 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.
- compute
Environments string[] - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - name string
- Specifies the name of the job queue.
- scheduling
Policy stringArn - The 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.
- {[key: string]: string}
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - timeouts
Job
Queue Timeouts
- priority int
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- state str
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- compute_
environment_ Sequence[Joborders Queue Compute Environment Order Args] - 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.
- compute_
environments Sequence[str] - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - name str
- Specifies the name of the job queue.
- scheduling_
policy_ strarn - The 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.
- Mapping[str, str]
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - timeouts
Job
Queue Timeouts Args
- priority Number
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- state String
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- compute
Environment List<Property Map>Orders - 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.
- compute
Environments List<String> - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - name String
- Specifies the name of the job queue.
- scheduling
Policy StringArn - The 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.
- Map<String>
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - timeouts Property Map
Outputs
All input properties are implicitly available as output properties. Additionally, the JobQueue resource produces the following output properties:
Look up Existing JobQueue Resource
Get an existing JobQueue resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: JobQueueState, opts?: CustomResourceOptions): JobQueue
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
arn: Optional[str] = None,
compute_environment_orders: Optional[Sequence[JobQueueComputeEnvironmentOrderArgs]] = None,
compute_environments: Optional[Sequence[str]] = None,
name: Optional[str] = None,
priority: Optional[int] = None,
scheduling_policy_arn: Optional[str] = None,
state: Optional[str] = None,
tags: Optional[Mapping[str, str]] = None,
tags_all: Optional[Mapping[str, str]] = None,
timeouts: Optional[JobQueueTimeoutsArgs] = None) -> JobQueue
func GetJobQueue(ctx *Context, name string, id IDInput, state *JobQueueState, opts ...ResourceOption) (*JobQueue, error)
public static JobQueue Get(string name, Input<string> id, JobQueueState? state, CustomResourceOptions? opts = null)
public static JobQueue get(String name, Output<String> id, JobQueueState state, CustomResourceOptions options)
Resource lookup is not supported in YAML
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Arn string
- The Amazon Resource Name of the job queue.
- Compute
Environment List<JobOrders Queue Compute Environment Order> - 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.
- Compute
Environments List<string> - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - Name string
- Specifies the name of the job queue.
- Priority int
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- Scheduling
Policy stringArn - The 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.
- State string
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- Dictionary<string, string>
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - Dictionary<string, string>
- A map of tags assigned to the resource, including those inherited from the provider
default_tags
configuration block. - Timeouts
Job
Queue Timeouts
- Arn string
- The Amazon Resource Name of the job queue.
- Compute
Environment []JobOrders Queue Compute Environment Order Args - 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.
- Compute
Environments []string - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - Name string
- Specifies the name of the job queue.
- Priority int
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- Scheduling
Policy stringArn - The 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.
- State string
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- map[string]string
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - map[string]string
- A map of tags assigned to the resource, including those inherited from the provider
default_tags
configuration block. - Timeouts
Job
Queue Timeouts Args
- arn String
- The Amazon Resource Name of the job queue.
- compute
Environment List<JobOrders Queue Compute Environment Order> - 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.
- compute
Environments List<String> - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - name String
- Specifies the name of the job queue.
- priority Integer
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- scheduling
Policy StringArn - The 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.
- state String
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- Map<String,String>
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - Map<String,String>
- A map of tags assigned to the resource, including those inherited from the provider
default_tags
configuration block. - timeouts
Job
Queue Timeouts
- arn string
- The Amazon Resource Name of the job queue.
- compute
Environment JobOrders Queue Compute Environment Order[] - 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.
- compute
Environments string[] - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - name string
- Specifies the name of the job queue.
- priority number
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- scheduling
Policy stringArn - The 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.
- state string
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- {[key: string]: string}
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - {[key: string]: string}
- A map of tags assigned to the resource, including those inherited from the provider
default_tags
configuration block. - timeouts
Job
Queue Timeouts
- arn str
- The Amazon Resource Name of the job queue.
- compute_
environment_ Sequence[Joborders Queue Compute Environment Order Args] - 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.
- compute_
environments Sequence[str] - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - name str
- Specifies the name of the job queue.
- priority int
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- scheduling_
policy_ strarn - The 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.
- state str
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- Mapping[str, str]
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - Mapping[str, str]
- A map of tags assigned to the resource, including those inherited from the provider
default_tags
configuration block. - timeouts
Job
Queue Timeouts Args
- arn String
- The Amazon Resource Name of the job queue.
- compute
Environment List<Property Map>Orders - 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.
- compute
Environments List<String> - (Optional) This parameter is deprecated, please use
compute_environment_order
instead. List of compute environment ARNs mapped to a job queue. The position of the compute environments in the list will dictate the order. When importing a AWS Batch Job Queue, the parametercompute_environments
will always be used overcompute_environment_order
. Please adjust your HCL accordingly. - name String
- Specifies the name of the job queue.
- priority Number
- The priority of the job queue. Job queues with a higher priority are evaluated first when associated with the same compute environment.
- scheduling
Policy StringArn - The 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.
- state String
- The state of the job queue. Must be one of:
ENABLED
orDISABLED
- Map<String>
- Key-value map of resource tags. .If configured with a provider
default_tags
configuration block present, tags with matching keys will overwrite those defined at the provider-level. - Map<String>
- A map of tags assigned to the resource, including those inherited from the provider
default_tags
configuration block. - timeouts Property Map
Supporting Types
JobQueueComputeEnvironmentOrder, JobQueueComputeEnvironmentOrderArgs
- Compute
Environment string - The Amazon Resource Name (ARN) of the compute environment.
- Order int
- 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.
- Compute
Environment string - The Amazon Resource Name (ARN) of the compute environment.
- Order int
- 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.
- compute
Environment String - The Amazon Resource Name (ARN) of the compute environment.
- 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.
- compute
Environment string - The Amazon Resource Name (ARN) of the compute environment.
- order number
- 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.
- compute_
environment str - The Amazon Resource Name (ARN) of the compute environment.
- order int
- 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.
- compute
Environment String - The Amazon Resource Name (ARN) of the compute environment.
- order Number
- 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.
JobQueueTimeouts, JobQueueTimeoutsArgs
- Create string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- Delete string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- Update string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- Create string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- Delete string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- Update string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- create String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- delete String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- update String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- create string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- delete string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- update string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- create str
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- delete str
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- update str
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- create String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- delete String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- update String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
Import
Using pulumi import
, import Batch Job Queue using the arn
. For example:
$ pulumi import aws:batch/jobQueue:JobQueue test_queue arn:aws:batch:us-east-1:123456789012:job-queue/sample
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- AWS Classic pulumi/pulumi-aws
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
aws
Terraform Provider.
Try AWS Native preview for resources not in the classic version.