future = listJobsPaginator.subscribe(response -> {
jobSummaries.addAll(response.jobSummaryList());
});
future.join();
return jobSummaries;
}
/**
* Registers a new job definition asynchronously in AWS Batch.
*
* When using Fargate as the compute environment, it is crucial to set the
* {@link NetworkConfiguration} with {@link AssignPublicIp#ENABLED} to
* ensure proper networking configuration for the Fargate tasks. This
* allows the tasks to communicate with external services, access the
* internet, or communicate within a VPC.
*
* @param jobDefinitionName the name of the job definition to be registered
* @param executionRoleARN the ARN (Amazon Resource Name) of the execution role
* that provides permissions for the containers in the job
* @param cpuArch a value of either X86_64 or ARM64 required for the service call
* @return a CompletableFuture that completes with the ARN of the registered
* job definition upon successful execution, or completes exceptionally with
* an error if the registration fails
*/
public CompletableFuture registerJobDefinitionAsync(String jobDefinitionName, String executionRoleARN, String image, String cpuArch) {
NetworkConfiguration networkConfiguration = NetworkConfiguration.builder()
.assignPublicIp(AssignPublicIp.ENABLED)
.build();
ContainerProperties containerProperties = ContainerProperties.builder()
.image(image)
.executionRoleArn(executionRoleARN)
.resourceRequirements(
Arrays.asList(
ResourceRequirement.builder()
.type(ResourceType.VCPU)
.value("1")
.build(),
ResourceRequirement.builder()
.type(ResourceType.MEMORY)
.value("2048")
.build()
)
)
.networkConfiguration(networkConfiguration)
.runtimePlatform(b -> b
.cpuArchitecture(cpuArch)
.operatingSystemFamily("LINUX"))
.build();
RegisterJobDefinitionRequest request = RegisterJobDefinitionRequest.builder()
.jobDefinitionName(jobDefinitionName)
.type(JobDefinitionType.CONTAINER)
.containerProperties(containerProperties)
.platformCapabilities(PlatformCapability.FARGATE)
.build();
CompletableFuture future = new CompletableFuture<>();
getAsyncClient().registerJobDefinition(request)
.thenApply(RegisterJobDefinitionResponse::jobDefinitionArn)
.whenComplete((result, ex) -> {
if (ex != null) {
future.completeExceptionally(ex);
} else {
future.complete(result);
}
});
return future;
}
/**
* Deregisters a job definition asynchronously.
*
* @param jobDefinition the name of the job definition to be deregistered
* @return a CompletableFuture that completes when the job definition has been deregistered
* or an exception has occurred
*/
public CompletableFuture deregisterJobDefinitionAsync(String jobDefinition) {
DeregisterJobDefinitionRequest jobDefinitionRequest = DeregisterJobDefinitionRequest.builder()
.jobDefinition(jobDefinition)
.build();
CompletableFuture responseFuture = getAsyncClient().deregisterJobDefinition(jobDefinitionRequest);
responseFuture.whenComplete((response, ex) -> {
if (ex != null) {
throw new RuntimeException("Unexpected error occurred: " + ex.getMessage(), ex);
}
});
return responseFuture;
}
/**
* Disables the specified job queue asynchronously.
*
* @param jobQueueArn the Amazon Resource Name (ARN) of the job queue to be disabled
* @return a {@link CompletableFuture} that completes when the job queue update operation is complete,
* or completes exceptionally if an error occurs during the operation
*/
public CompletableFuture disableJobQueueAsync(String jobQueueArn) {
UpdateJobQueueRequest updateRequest = UpdateJobQueueRequest.builder()
.jobQueue(jobQueueArn)
.state(JQState.DISABLED)
.build();
CompletableFuture responseFuture = getAsyncClient().updateJobQueue(updateRequest);
return responseFuture.whenComplete((updateResponse, ex) -> {
if (ex != null) {
throw new RuntimeException("Failed to update job queue: " + ex.getMessage(), ex);
}
}).thenApply(updateResponse -> null);
}
/**
* Deletes a Batch job queue asynchronously.
*
* @param jobQueueArn The Amazon Resource Name (ARN) of the job queue to delete.
* @return A CompletableFuture that represents the asynchronous deletion of the job queue.
* The future completes when the job queue has been successfully deleted or if an error occurs.
* If successful, the future will be completed with a {@code Void} value.
* If an error occurs, the future will be completed exceptionally with the thrown exception.
*/
public CompletableFuture deleteJobQueueAsync(String jobQueueArn) {
DeleteJobQueueRequest deleteRequest = DeleteJobQueueRequest.builder()
.jobQueue(jobQueueArn)
.build();
CompletableFuture responseFuture = getAsyncClient().deleteJobQueue(deleteRequest);
return responseFuture.whenComplete((deleteResponse, ex) -> {
if (ex != null) {
throw new RuntimeException("Failed to delete job queue: " + ex.getMessage(), ex);
}
}).thenApply(deleteResponse -> null);
}
/**
* Asynchronously describes the job queue associated with the specified compute environment.
*
* @param computeEnvironmentName the name of the compute environment to find the associated job queue for
* @return a {@link CompletableFuture} that, when completed, contains the job queue ARN associated with the specified compute environment
* @throws RuntimeException if the job queue description fails
*/
public CompletableFuture describeJobQueueAsync(String computeEnvironmentName) {
DescribeJobQueuesRequest describeJobQueuesRequest = DescribeJobQueuesRequest.builder()
.build();
CompletableFuture responseFuture = getAsyncClient().describeJobQueues(describeJobQueuesRequest);
return responseFuture.whenComplete((describeJobQueuesResponse, ex) -> {
if (describeJobQueuesResponse != null) {
String jobQueueARN;
for (JobQueueDetail jobQueueDetail : describeJobQueuesResponse.jobQueues()) {
for (ComputeEnvironmentOrder computeEnvironmentOrder : jobQueueDetail.computeEnvironmentOrder()) {
String computeEnvironment = computeEnvironmentOrder.computeEnvironment();
String name = getComputeEnvironmentName(computeEnvironment);
if (name.equals(computeEnvironmentName)) {
jobQueueARN = jobQueueDetail.jobQueueArn();
logger.info("Job queue ARN associated with the compute environment: " + jobQueueARN);
}
}
}
} else {
throw new RuntimeException("Failed to describe job queue: " + ex.getMessage(), ex);
}
}).thenApply(describeJobQueuesResponse -> {
String jobQueueARN = "";
for (JobQueueDetail jobQueueDetail : describeJobQueuesResponse.jobQueues()) {
for (ComputeEnvironmentOrder computeEnvironmentOrder : jobQueueDetail.computeEnvironmentOrder()) {
String computeEnvironment = computeEnvironmentOrder.computeEnvironment();
String name = getComputeEnvironmentName(computeEnvironment);
if (name.equals(computeEnvironmentName)) {
jobQueueARN = jobQueueDetail.jobQueueArn();
}
}
}
return jobQueueARN;
});
}
/**
* Disables the specified compute environment asynchronously.
*
* @param computeEnvironmentName the name of the compute environment to disable
* @return a CompletableFuture that completes when the compute environment is disabled
*/
public CompletableFuture disableComputeEnvironmentAsync(String computeEnvironmentName) {
UpdateComputeEnvironmentRequest updateRequest = UpdateComputeEnvironmentRequest.builder()
.computeEnvironment(computeEnvironmentName)
.state(CEState.DISABLED)
.build();
CompletableFuture responseFuture = getAsyncClient().updateComputeEnvironment(updateRequest);
responseFuture.whenComplete((response, ex) -> {
if (ex != null) {
throw new RuntimeException("Failed to disable compute environment: " + ex.getMessage(), ex);
}
});
return responseFuture;
}
/**
* Submits a job asynchronously to the AWS Batch service.
*
* @param jobDefinitionName the name of the job definition to use
* @param jobQueueName the name of the job queue to submit the job to
* @param jobARN the Amazon Resource Name (ARN) of the job definition
* @return a CompletableFuture that, when completed, contains the job ID of the submitted job
*/
public CompletableFuture submitJobAsync(String jobDefinitionName, String jobQueueName, String jobARN) {
SubmitJobRequest jobRequest = SubmitJobRequest.builder()
.jobDefinition(jobARN)
.jobName(jobDefinitionName)
.jobQueue(jobQueueName)
.build();
CompletableFuture responseFuture = getAsyncClient().submitJob(jobRequest);
responseFuture.whenComplete((response, ex) -> {
if (ex != null) {
throw new RuntimeException("Unexpected error occurred: " + ex.getMessage(), ex);
}
});
return responseFuture.thenApply(SubmitJobResponse::jobId);
}
/**
* Asynchronously retrieves the status of a specific job.
*
* @param jobId the ID of the job to retrieve the status for
* @return a CompletableFuture that completes with the job status
*/
public CompletableFuture describeJobAsync(String jobId) {
DescribeJobsRequest describeJobsRequest = DescribeJobsRequest.builder()
.jobs(jobId)
.build();
CompletableFuture responseFuture = getAsyncClient().describeJobs(describeJobsRequest);
return responseFuture.whenComplete((response, ex) -> {
if (ex != null) {
throw new RuntimeException("Unexpected error occurred: " + ex.getMessage(), ex);
}
}).thenApply(response -> response.jobs().get(0).status().toString());
}
/**
* Disables the specific job queue using the asynchronous Java client.
*
* @param jobQueueArn the Amazon Resource Name (ARN) of the job queue to wait for
* @return a {@link CompletableFuture} that completes when the job queue is disabled
*/
public CompletableFuture waitForJobQueueToBeDisabledAsync(String jobQueueArn) {
AtomicBoolean isDisabled = new AtomicBoolean(false);
return CompletableFuture.runAsync(() -> {
while (!isDisabled.get()) {
DescribeJobQueuesRequest describeRequest = DescribeJobQueuesRequest.builder()
.jobQueues(jobQueueArn)
.build();
CompletableFuture responseFuture = getAsyncClient().describeJobQueues(describeRequest);
responseFuture.whenComplete((describeResponse, ex) -> {
if (describeResponse != null) {
for (JobQueueDetail jobQueue : describeResponse.jobQueues()) {
if (jobQueue.jobQueueArn().equals(jobQueueArn) && jobQueue.state() == JQState.DISABLED) {
isDisabled.set(true);
break;
}
}
} else {
throw new RuntimeException("Error describing job queues", ex);
}
}).join();
if (!isDisabled.get()) {
try {
logger.info("Waiting for job queue to be disabled...");
Thread.sleep(5000);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
throw new RuntimeException("Thread interrupted while waiting for job queue to be disabled", e);
}
}
}
}).whenComplete((result, throwable) -> {
if (throwable != null) {
throw new RuntimeException("Error while waiting for job queue to be disabled", throwable);
}
});
}
public CompletableFuture getJobQueueARN(String jobQueueName) {
// Describe the job queue asynchronously
CompletableFuture describeJobQueuesFuture = batchClient.describeJobQueues(
DescribeJobQueuesRequest.builder()
.jobQueues(jobQueueName)
.build()
);
// Handle the asynchronous response and return the Job Queue ARN in the CompletableFuture
CompletableFuture jobQueueArnFuture = new CompletableFuture<>();
describeJobQueuesFuture.whenComplete((response, error) -> {
if (error != null) {
if (error instanceof BatchException) {
logger.info("Batch error: " + ((BatchException) error).awsErrorDetails().errorMessage());
} else {
logger.info("Error describing job queue: " + error.getMessage());
}
jobQueueArnFuture.completeExceptionally(new RuntimeException("Failed to retrieve Job Queue ARN", error));
} else {
if (response.jobQueues().isEmpty()) {
jobQueueArnFuture.completeExceptionally(new RuntimeException("Job queue not found: " + jobQueueName));
} else {
// Assuming only one job queue is returned for the given name
String jobQueueArn = response.jobQueues().get(0).jobQueueArn();
jobQueueArnFuture.complete(jobQueueArn);
}
}
});
return jobQueueArnFuture;
}
private static String getComputeEnvironmentName(String computeEnvironment) {
String[] parts = computeEnvironment.split("/");
if (parts.length == 2) {
return parts[1];
}
return null;
}
public CompletableFuture getAccountId() {
StsAsyncClient stsAsyncClient = StsAsyncClient.builder()
.region(Region.US_EAST_1)
.build();
return stsAsyncClient.getCallerIdentity()
.thenApply(GetCallerIdentityResponse::account);
}
}
```
+ Untuk detail API, lihat topik berikut di *Referensi API AWS SDK for Java 2.x *.
+ [CreateComputeEnvironment](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/CreateComputeEnvironment)
+ [CreateJobQueue](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/CreateJobQueue)
+ [DeleteComputeEnvironment](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DeleteComputeEnvironment)
+ [DeleteJobQueue](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DeleteJobQueue)
+ [DeregisterJobDefinition](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DeregisterJobDefinition)
+ [DescribeComputeEnvironments](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DescribeComputeEnvironments)
+ [DescribeJobQueues](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DescribeJobQueues)
+ [DescribeJobs](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DescribeJobs)
+ [ListJobsPaginator](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/ListJobsPaginator)
+ [RegisterJobDefinition](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/RegisterJobDefinition)
+ [SubmitJob](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/SubmitJob)
+ [UpdateComputeEnvironment](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/UpdateComputeEnvironment)
+ [UpdateJobQueue](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/UpdateJobQueue)
------
# Tindakan untuk AWS Batch menggunakan AWS SDKs
Contoh kode berikut menunjukkan bagaimana melakukan AWS Batch tindakan individu dengan AWS SDKs. Setiap contoh menyertakan tautan ke GitHub, di mana Anda dapat menemukan instruksi untuk mengatur dan menjalankan kode.
Kutipan ini memanggil AWS Batch API dan merupakan kutipan kode dari program yang lebih besar yang harus dijalankan dalam konteks. Anda dapat melihat tindakan dalam konteks di[Skenario untuk AWS Batch menggunakan AWS SDKs](batch_code_examples_scenarios.md).
Contoh berikut hanya mencakup tindakan yang paling umum digunakan. Untuk daftar lengkapnya, lihat [Referensi AWS Batch API](https://docs.aws.amazon.com/batch/latest/APIReference/Welcome.html).
**Topics**
+ [`CreateComputeEnvironment`](batch_example_batch_CreateComputeEnvironment_section.md)
+ [`CreateJobQueue`](batch_example_batch_CreateJobQueue_section.md)
+ [`DeleteComputeEnvironment`](batch_example_batch_DeleteComputeEnvironment_section.md)
+ [`DeleteJobQueue`](batch_example_batch_DeleteJobQueue_section.md)
+ [`DeregisterJobDefinition`](batch_example_batch_DeregisterJobDefinition_section.md)
+ [`DescribeComputeEnvironments`](batch_example_batch_DescribeComputeEnvironments_section.md)
+ [`DescribeJobQueues`](batch_example_batch_DescribeJobQueues_section.md)
+ [`DescribeJobs`](batch_example_batch_DescribeJobs_section.md)
+ [`ListJobsPaginator`](batch_example_batch_ListJobsPaginator_section.md)
+ [`RegisterJobDefinition`](batch_example_batch_RegisterJobDefinition_section.md)
+ [`SubmitJob`](batch_example_batch_SubmitJob_section.md)
+ [`UpdateComputeEnvironment`](batch_example_batch_UpdateComputeEnvironment_section.md)
+ [`UpdateJobQueue`](batch_example_batch_UpdateJobQueue_section.md)
# Gunakan `CreateComputeEnvironment` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`CreateComputeEnvironment`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk membuat lingkungan komputasi terkelola dengan instans On-Demand**
Contoh ini menciptakan lingkungan komputasi terkelola dengan jenis instans C4 tertentu yang diluncurkan sesuai permintaan. Lingkungan komputasi disebut OnDemand C4.
Perintah:
```
aws batch create-compute-environment --cli-input-json file:///C4OnDemand.json
```
Format file JSON:
```
{
"computeEnvironmentName": "C4OnDemand",
"type": "MANAGED",
"state": "ENABLED",
"computeResources": {
"type": "EC2",
"minvCpus": 0,
"maxvCpus": 128,
"desiredvCpus": 48,
"instanceTypes": [
"c4.large",
"c4.xlarge",
"c4.2xlarge",
"c4.4xlarge",
"c4.8xlarge"
],
"subnets": [
"subnet-220c0e0a",
"subnet-1a95556d",
"subnet-978f6dce"
],
"securityGroupIds": [
"sg-cf5093b2"
],
"ec2KeyPair": "id_rsa",
"instanceRole": "ecsInstanceRole",
"tags": {
"Name": "Batch Instance - C4OnDemand"
}
},
"serviceRole": "arn:aws:iam::012345678910:role/AWSBatchServiceRole"
}
```
Output:
```
{
"computeEnvironmentName": "C4OnDemand",
"computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/C4OnDemand"
}
```
**Untuk membuat lingkungan komputasi terkelola dengan Instans Spot**
Contoh ini menciptakan lingkungan komputasi terkelola dengan tipe instans M4 yang diluncurkan saat harga tawaran Spot berada pada atau di bawah 20% dari harga Sesuai Permintaan untuk jenis instans. Lingkungan komputasi disebut M4Spot.
Perintah:
```
aws batch create-compute-environment --cli-input-json file:///M4Spot.json
```
Format file JSON:
```
{
"computeEnvironmentName": "M4Spot",
"type": "MANAGED",
"state": "ENABLED",
"computeResources": {
"type": "SPOT",
"spotIamFleetRole": "arn:aws:iam::012345678910:role/aws-ec2-spot-fleet-role",
"minvCpus": 0,
"maxvCpus": 128,
"desiredvCpus": 4,
"instanceTypes": [
"m4"
],
"bidPercentage": 20,
"subnets": [
"subnet-220c0e0a",
"subnet-1a95556d",
"subnet-978f6dce"
],
"securityGroupIds": [
"sg-cf5093b2"
],
"ec2KeyPair": "id_rsa",
"instanceRole": "ecsInstanceRole",
"tags": {
"Name": "Batch Instance - M4Spot"
}
},
"serviceRole": "arn:aws:iam::012345678910:role/AWSBatchServiceRole"
}
```
Output:
```
{
"computeEnvironmentName": "M4Spot",
"computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/M4Spot"
}
```
+ Untuk detail API, lihat [CreateComputeEnvironment](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/create-compute-environment.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Asynchronously creates a new compute environment in AWS Batch.
*
* @param computeEnvironmentName the name of the compute environment to create
* @param batchIAMRole the IAM role to be used by the compute environment
* @param subnet the subnet ID to be used for the compute environment
* @param secGroup the security group ID to be used for the compute environment
* @return a {@link CompletableFuture} representing the asynchronous operation, which will complete with the
* {@link CreateComputeEnvironmentResponse} when the compute environment has been created
* @throws BatchException if there is an error creating the compute environment
* @throws RuntimeException if there is an unexpected error during the operation
*/
public CompletableFuture createComputeEnvironmentAsync(
String computeEnvironmentName, String batchIAMRole, String subnet, String secGroup) {
CreateComputeEnvironmentRequest environmentRequest = CreateComputeEnvironmentRequest.builder()
.computeEnvironmentName(computeEnvironmentName)
.type(CEType.MANAGED)
.state(CEState.ENABLED)
.computeResources(ComputeResource.builder()
.type(CRType.FARGATE)
.maxvCpus(256)
.subnets(Collections.singletonList(subnet))
.securityGroupIds(Collections.singletonList(secGroup))
.build())
.serviceRole(batchIAMRole)
.build();
CompletableFuture response = getAsyncClient().createComputeEnvironment(environmentRequest);
response.whenComplete((resp, ex) -> {
if (ex != null) {
String errorMessage = "Unexpected error occurred: " + ex.getMessage();
throw new RuntimeException(errorMessage, ex);
}
});
return response;
}
```
+ Untuk detail API, lihat [CreateComputeEnvironment](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/CreateComputeEnvironment)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `CreateJobQueue` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`CreateJobQueue`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk membuat antrian pekerjaan prioritas rendah dengan satu lingkungan komputasi**
Contoh ini membuat antrean pekerjaan yang disebut LowPriority yang menggunakan lingkungan komputasi M4Spot.
Perintah:
```
aws batch create-job-queue --cli-input-json file:///LowPriority.json
```
Format file JSON:
```
{
"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"
}
```
**Untuk membuat antrian pekerjaan prioritas tinggi dengan dua lingkungan komputasi**
Contoh ini membuat antrian pekerjaan HighPriority yang disebut yang menggunakan lingkungan OnDemand komputasi C4 dengan urutan 1 dan lingkungan komputasi M4Spot dengan urutan 2. Penjadwal akan mencoba menempatkan pekerjaan di lingkungan OnDemand komputasi C4 terlebih dahulu.
Perintah:
```
aws batch create-job-queue --cli-input-json file:///HighPriority.json
```
Format file JSON:
```
{
"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"
}
```
+ Untuk detail API, lihat [CreateJobQueue](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/create-job-queue.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Creates a job queue asynchronously.
*
* @param jobQueueName the name of the job queue to create
* @param computeEnvironmentName the name of the compute environment to associate with the job queue
* @return a CompletableFuture that completes with the Amazon Resource Name (ARN) of the job queue
*/
public CompletableFuture createJobQueueAsync(String jobQueueName, String computeEnvironmentName) {
if (jobQueueName == null || jobQueueName.isEmpty()) {
throw new IllegalArgumentException("Job queue name cannot be null or empty");
}
if (computeEnvironmentName == null || computeEnvironmentName.isEmpty()) {
throw new IllegalArgumentException("Compute environment name cannot be null or empty");
}
CreateJobQueueRequest request = CreateJobQueueRequest.builder()
.jobQueueName(jobQueueName)
.priority(1)
.computeEnvironmentOrder(ComputeEnvironmentOrder.builder()
.computeEnvironment(computeEnvironmentName)
.order(1)
.build())
.build();
CompletableFuture response = getAsyncClient().createJobQueue(request);
response.whenComplete((resp, ex) -> {
if (ex != null) {
String errorMessage = "Unexpected error occurred: " + ex.getMessage();
throw new RuntimeException(errorMessage, ex);
}
});
return response.thenApply(CreateJobQueueResponse::jobQueueArn);
}
```
+ Untuk detail API, lihat [CreateJobQueue](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/CreateJobQueue)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `DeleteComputeEnvironment` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`DeleteComputeEnvironment`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk menghapus lingkungan komputasi**
Contoh ini menghapus lingkungan OnDemand komputasi P2.
Perintah:
```
aws batch delete-compute-environment --compute-environment P2OnDemand
```
+ Untuk detail API, lihat [DeleteComputeEnvironment](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/delete-compute-environment.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
public CompletableFuture deleteComputeEnvironmentAsync(String computeEnvironmentName) {
DeleteComputeEnvironmentRequest deleteComputeEnvironment = DeleteComputeEnvironmentRequest.builder()
.computeEnvironment(computeEnvironmentName)
.build();
return getAsyncClient().deleteComputeEnvironment(deleteComputeEnvironment)
.whenComplete((response, ex) -> {
if (ex != null) {
Throwable cause = ex.getCause();
if (cause instanceof BatchException) {
throw new RuntimeException(cause);
} else {
throw new RuntimeException("Unexpected error: " + cause.getMessage(), cause);
}
}
});
}
```
+ Untuk detail API, lihat [DeleteComputeEnvironment](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DeleteComputeEnvironment)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `DeleteJobQueue` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`DeleteJobQueue`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk menghapus antrean pekerjaan**
Contoh ini menghapus antrian pekerjaan GPGPU.
Perintah:
```
aws batch delete-job-queue --job-queue GPGPU
```
+ Untuk detail API, lihat [DeleteJobQueue](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/delete-job-queue.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Deletes a Batch job queue asynchronously.
*
* @param jobQueueArn The Amazon Resource Name (ARN) of the job queue to delete.
* @return A CompletableFuture that represents the asynchronous deletion of the job queue.
* The future completes when the job queue has been successfully deleted or if an error occurs.
* If successful, the future will be completed with a {@code Void} value.
* If an error occurs, the future will be completed exceptionally with the thrown exception.
*/
public CompletableFuture deleteJobQueueAsync(String jobQueueArn) {
DeleteJobQueueRequest deleteRequest = DeleteJobQueueRequest.builder()
.jobQueue(jobQueueArn)
.build();
CompletableFuture responseFuture = getAsyncClient().deleteJobQueue(deleteRequest);
return responseFuture.whenComplete((deleteResponse, ex) -> {
if (ex != null) {
throw new RuntimeException("Failed to delete job queue: " + ex.getMessage(), ex);
}
}).thenApply(deleteResponse -> null);
}
```
+ Untuk detail API, lihat [DeleteJobQueue](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DeleteJobQueue)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `DeregisterJobDefinition` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`DeregisterJobDefinition`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk membatalkan pendaftaran definisi pekerjaan**
Contoh ini membatalkan pendaftaran definisi pekerjaan yang disebut sleep10.
Perintah:
```
aws batch deregister-job-definition --job-definition sleep10
```
+ Untuk detail API, lihat [DeregisterJobDefinition](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/deregister-job-definition.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Deregisters a job definition asynchronously.
*
* @param jobDefinition the name of the job definition to be deregistered
* @return a CompletableFuture that completes when the job definition has been deregistered
* or an exception has occurred
*/
public CompletableFuture deregisterJobDefinitionAsync(String jobDefinition) {
DeregisterJobDefinitionRequest jobDefinitionRequest = DeregisterJobDefinitionRequest.builder()
.jobDefinition(jobDefinition)
.build();
CompletableFuture responseFuture = getAsyncClient().deregisterJobDefinition(jobDefinitionRequest);
responseFuture.whenComplete((response, ex) -> {
if (ex != null) {
throw new RuntimeException("Unexpected error occurred: " + ex.getMessage(), ex);
}
});
return responseFuture;
}
```
+ Untuk detail API, lihat [DeregisterJobDefinition](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DeregisterJobDefinition)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `DescribeComputeEnvironments` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`DescribeComputeEnvironments`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk menggambarkan lingkungan komputasi**
Contoh ini menjelaskan lingkungan OnDemand komputasi P2.
Perintah:
```
aws batch describe-compute-environments --compute-environments P2OnDemand
```
Output:
```
{
"computeEnvironments": [
{
"status": "VALID",
"serviceRole": "arn:aws:iam::012345678910:role/AWSBatchServiceRole",
"computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/P2OnDemand",
"computeResources": {
"subnets": [
"subnet-220c0e0a",
"subnet-1a95556d",
"subnet-978f6dce"
],
"tags": {
"Name": "Batch Instance - P2OnDemand"
},
"desiredvCpus": 48,
"minvCpus": 0,
"instanceTypes": [
"p2"
],
"securityGroupIds": [
"sg-cf5093b2"
],
"instanceRole": "ecsInstanceRole",
"maxvCpus": 128,
"type": "EC2",
"ec2KeyPair": "id_rsa"
},
"statusReason": "ComputeEnvironment Healthy",
"ecsClusterArn": "arn:aws:ecs:us-east-1:012345678910:cluster/P2OnDemand_Batch_2c06f29d-d1fe-3a49-879d-42394c86effc",
"state": "ENABLED",
"computeEnvironmentName": "P2OnDemand",
"type": "MANAGED"
}
]
}
```
+ Untuk detail API, lihat [DescribeComputeEnvironments](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/describe-compute-environments.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Checks the status of the specified compute environment.
*
* @param computeEnvironmentName the name of the compute environment to check
* @return a CompletableFuture containing the status of the compute environment, or "ERROR" if an exception occurs
*/
public CompletableFuture checkComputeEnvironmentsStatus(String computeEnvironmentName) {
if (computeEnvironmentName == null || computeEnvironmentName.isEmpty()) {
throw new IllegalArgumentException("Compute environment name cannot be null or empty");
}
DescribeComputeEnvironmentsRequest environmentsRequest = DescribeComputeEnvironmentsRequest.builder()
.computeEnvironments(computeEnvironmentName)
.build();
CompletableFuture response = getAsyncClient().describeComputeEnvironments(environmentsRequest);
response.whenComplete((resp, ex) -> {
if (ex != null) {
String errorMessage = "Unexpected error occurred: " + ex.getMessage();
throw new RuntimeException(errorMessage, ex);
}
});
return response.thenApply(resp -> resp.computeEnvironments().stream()
.map(env -> env.statusAsString())
.findFirst()
.orElse("UNKNOWN"));
}
```
+ Untuk detail API, lihat [DescribeComputeEnvironments](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DescribeComputeEnvironments)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `DescribeJobQueues` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`DescribeJobQueues`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk menggambarkan antrian pekerjaan**
Contoh ini menjelaskan antrian HighPriority pekerjaan.
Perintah:
```
aws batch describe-job-queues --job-queues HighPriority
```
Output:
```
{
"jobQueues": [
{
"status": "VALID",
"jobQueueArn": "arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority",
"computeEnvironmentOrder": [
{
"computeEnvironment": "arn:aws:batch:us-east-1:012345678910:compute-environment/C4OnDemand",
"order": 1
}
],
"statusReason": "JobQueue Healthy",
"priority": 1,
"state": "ENABLED",
"jobQueueName": "HighPriority"
}
]
}
```
+ Untuk detail API, lihat [DescribeJobQueues](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/describe-job-queues.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Asynchronously describes the job queue associated with the specified compute environment.
*
* @param computeEnvironmentName the name of the compute environment to find the associated job queue for
* @return a {@link CompletableFuture} that, when completed, contains the job queue ARN associated with the specified compute environment
* @throws RuntimeException if the job queue description fails
*/
public CompletableFuture describeJobQueueAsync(String computeEnvironmentName) {
DescribeJobQueuesRequest describeJobQueuesRequest = DescribeJobQueuesRequest.builder()
.build();
CompletableFuture responseFuture = getAsyncClient().describeJobQueues(describeJobQueuesRequest);
return responseFuture.whenComplete((describeJobQueuesResponse, ex) -> {
if (describeJobQueuesResponse != null) {
String jobQueueARN;
for (JobQueueDetail jobQueueDetail : describeJobQueuesResponse.jobQueues()) {
for (ComputeEnvironmentOrder computeEnvironmentOrder : jobQueueDetail.computeEnvironmentOrder()) {
String computeEnvironment = computeEnvironmentOrder.computeEnvironment();
String name = getComputeEnvironmentName(computeEnvironment);
if (name.equals(computeEnvironmentName)) {
jobQueueARN = jobQueueDetail.jobQueueArn();
logger.info("Job queue ARN associated with the compute environment: " + jobQueueARN);
}
}
}
} else {
throw new RuntimeException("Failed to describe job queue: " + ex.getMessage(), ex);
}
}).thenApply(describeJobQueuesResponse -> {
String jobQueueARN = "";
for (JobQueueDetail jobQueueDetail : describeJobQueuesResponse.jobQueues()) {
for (ComputeEnvironmentOrder computeEnvironmentOrder : jobQueueDetail.computeEnvironmentOrder()) {
String computeEnvironment = computeEnvironmentOrder.computeEnvironment();
String name = getComputeEnvironmentName(computeEnvironment);
if (name.equals(computeEnvironmentName)) {
jobQueueARN = jobQueueDetail.jobQueueArn();
}
}
}
return jobQueueARN;
});
}
```
+ Untuk detail API, lihat [DescribeJobQueues](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DescribeJobQueues)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `DescribeJobs` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`DescribeJobs`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk menggambarkan pekerjaan**
`describe-jobs`Contoh berikut menjelaskan pekerjaan dengan ID pekerjaan yang ditentukan.
```
aws batch describe-jobs \
--jobs bcf0b186-a532-4122-842e-2ccab8d54efb
```
Output:
```
{
"jobs": [
{
"status": "SUBMITTED",
"container": {
"mountPoints": [],
"image": "busybox",
"environment": [],
"vcpus": 1,
"command": [
"sleep",
"60"
],
"volumes": [],
"memory": 128,
"ulimits": []
},
"parameters": {},
"jobDefinition": "arn:aws:batch:us-east-1:012345678910:job-definition/sleep60:1",
"jobQueue": "arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority",
"jobId": "bcf0b186-a532-4122-842e-2ccab8d54efb",
"dependsOn": [],
"jobName": "example",
"createdAt": 1480483387803
}
]
}
```
+ Untuk detail API, lihat [DescribeJobs](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/describe-jobs.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Asynchronously retrieves the status of a specific job.
*
* @param jobId the ID of the job to retrieve the status for
* @return a CompletableFuture that completes with the job status
*/
public CompletableFuture describeJobAsync(String jobId) {
DescribeJobsRequest describeJobsRequest = DescribeJobsRequest.builder()
.jobs(jobId)
.build();
CompletableFuture responseFuture = getAsyncClient().describeJobs(describeJobsRequest);
return responseFuture.whenComplete((response, ex) -> {
if (ex != null) {
throw new RuntimeException("Unexpected error occurred: " + ex.getMessage(), ex);
}
}).thenApply(response -> response.jobs().get(0).status().toString());
}
```
+ Untuk detail API, lihat [DescribeJobs](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DescribeJobs)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `ListJobsPaginator` dengan AWS SDK
Contoh kode berikut menunjukkan cara menggunakan`ListJobsPaginator`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Asynchronously lists the jobs in the specified job queue with the given job status.
*
* @param jobQueue the name of the job queue to list jobs from
* @return a List that contains the jobs that succeeded
*/
public List listJobsAsync(String jobQueue) {
if (jobQueue == null || jobQueue.isEmpty()) {
throw new IllegalArgumentException("Job queue cannot be null or empty");
}
ListJobsRequest listJobsRequest = ListJobsRequest.builder()
.jobQueue(jobQueue)
.jobStatus(JobStatus.SUCCEEDED) // Filter jobs by status.
.build();
List jobSummaries = new ArrayList<>();
ListJobsPublisher listJobsPaginator = getAsyncClient().listJobsPaginator(listJobsRequest);
CompletableFuture future = listJobsPaginator.subscribe(response -> {
jobSummaries.addAll(response.jobSummaryList());
});
future.join();
return jobSummaries;
}
```
+ Untuk detail API, lihat [ListJobsPaginator](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/ListJobsPaginator)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `RegisterJobDefinition` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`RegisterJobDefinition`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk mendaftarkan definisi pekerjaan**
Contoh ini mendaftarkan definisi pekerjaan untuk pekerjaan kontainer sederhana.
Perintah:
```
aws batch register-job-definition --job-definition-name sleep30 --type container --container-properties '{ "image": "busybox", "vcpus": 1, "memory": 128, "command": [ "sleep", "30"]}'
```
Output:
```
{
"jobDefinitionArn": "arn:aws:batch:us-east-1:012345678910:job-definition/sleep30:1",
"jobDefinitionName": "sleep30",
"revision": 1
}
```
+ Untuk detail API, lihat [RegisterJobDefinition](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/register-job-definition.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Registers a new job definition asynchronously in AWS Batch.
*
* When using Fargate as the compute environment, it is crucial to set the
* {@link NetworkConfiguration} with {@link AssignPublicIp#ENABLED} to
* ensure proper networking configuration for the Fargate tasks. This
* allows the tasks to communicate with external services, access the
* internet, or communicate within a VPC.
*
* @param jobDefinitionName the name of the job definition to be registered
* @param executionRoleARN the ARN (Amazon Resource Name) of the execution role
* that provides permissions for the containers in the job
* @param cpuArch a value of either X86_64 or ARM64 required for the service call
* @return a CompletableFuture that completes with the ARN of the registered
* job definition upon successful execution, or completes exceptionally with
* an error if the registration fails
*/
public CompletableFuture registerJobDefinitionAsync(String jobDefinitionName, String executionRoleARN, String image, String cpuArch) {
NetworkConfiguration networkConfiguration = NetworkConfiguration.builder()
.assignPublicIp(AssignPublicIp.ENABLED)
.build();
ContainerProperties containerProperties = ContainerProperties.builder()
.image(image)
.executionRoleArn(executionRoleARN)
.resourceRequirements(
Arrays.asList(
ResourceRequirement.builder()
.type(ResourceType.VCPU)
.value("1")
.build(),
ResourceRequirement.builder()
.type(ResourceType.MEMORY)
.value("2048")
.build()
)
)
.networkConfiguration(networkConfiguration)
.runtimePlatform(b -> b
.cpuArchitecture(cpuArch)
.operatingSystemFamily("LINUX"))
.build();
RegisterJobDefinitionRequest request = RegisterJobDefinitionRequest.builder()
.jobDefinitionName(jobDefinitionName)
.type(JobDefinitionType.CONTAINER)
.containerProperties(containerProperties)
.platformCapabilities(PlatformCapability.FARGATE)
.build();
CompletableFuture future = new CompletableFuture<>();
getAsyncClient().registerJobDefinition(request)
.thenApply(RegisterJobDefinitionResponse::jobDefinitionArn)
.whenComplete((result, ex) -> {
if (ex != null) {
future.completeExceptionally(ex);
} else {
future.complete(result);
}
});
return future;
}
```
+ Untuk detail API, lihat [RegisterJobDefinition](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/RegisterJobDefinition)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `SubmitJob` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`SubmitJob`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk mengirimkan pekerjaan**
Contoh ini mengirimkan pekerjaan kontainer sederhana yang disebut contoh ke antrian HighPriority pekerjaan.
Perintah:
```
aws batch submit-job --job-name example --job-queue HighPriority --job-definition sleep60
```
Output:
```
{
"jobName": "example",
"jobId": "876da822-4198-45f2-a252-6cea32512ea8"
}
```
+ Untuk detail API, lihat [SubmitJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/submit-job.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Submits a job asynchronously to the AWS Batch service.
*
* @param jobDefinitionName the name of the job definition to use
* @param jobQueueName the name of the job queue to submit the job to
* @param jobARN the Amazon Resource Name (ARN) of the job definition
* @return a CompletableFuture that, when completed, contains the job ID of the submitted job
*/
public CompletableFuture submitJobAsync(String jobDefinitionName, String jobQueueName, String jobARN) {
SubmitJobRequest jobRequest = SubmitJobRequest.builder()
.jobDefinition(jobARN)
.jobName(jobDefinitionName)
.jobQueue(jobQueueName)
.build();
CompletableFuture responseFuture = getAsyncClient().submitJob(jobRequest);
responseFuture.whenComplete((response, ex) -> {
if (ex != null) {
throw new RuntimeException("Unexpected error occurred: " + ex.getMessage(), ex);
}
});
return responseFuture.thenApply(SubmitJobResponse::jobId);
}
```
+ Untuk detail API, lihat [SubmitJob](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/SubmitJob)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `UpdateComputeEnvironment` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`UpdateComputeEnvironment`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk memperbarui lingkungan komputasi**
Contoh ini menonaktifkan lingkungan OnDemand komputasi P2 sehingga dapat dihapus.
Perintah:
```
aws batch update-compute-environment --compute-environment P2OnDemand --state DISABLED
```
Output:
```
{
"computeEnvironmentName": "P2OnDemand",
"computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/P2OnDemand"
}
```
+ Untuk detail API, lihat [UpdateComputeEnvironment](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/update-compute-environment.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Disables the specified compute environment asynchronously.
*
* @param computeEnvironmentName the name of the compute environment to disable
* @return a CompletableFuture that completes when the compute environment is disabled
*/
public CompletableFuture disableComputeEnvironmentAsync(String computeEnvironmentName) {
UpdateComputeEnvironmentRequest updateRequest = UpdateComputeEnvironmentRequest.builder()
.computeEnvironment(computeEnvironmentName)
.state(CEState.DISABLED)
.build();
CompletableFuture responseFuture = getAsyncClient().updateComputeEnvironment(updateRequest);
responseFuture.whenComplete((response, ex) -> {
if (ex != null) {
throw new RuntimeException("Failed to disable compute environment: " + ex.getMessage(), ex);
}
});
return responseFuture;
}
```
+ Untuk detail API, lihat [UpdateComputeEnvironment](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/UpdateComputeEnvironment)di *Referensi AWS SDK for Java 2.x API*.
------
# Gunakan `UpdateJobQueue` dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakan`UpdateJobQueue`.
Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:
+ [Pelajari dasar-dasarnya](batch_example_batch_Scenario_section.md)
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
------
#### [ CLI ]
**AWS CLI**
**Untuk memperbarui antrian pekerjaan**
Contoh ini menonaktifkan antrian pekerjaan sehingga dapat dihapus.
Perintah:
```
aws batch update-job-queue --job-queue GPGPU --state DISABLED
```
Output:
```
{
"jobQueueArn": "arn:aws:batch:us-east-1:012345678910:job-queue/GPGPU",
"jobQueueName": "GPGPU"
}
```
+ Untuk detail API, lihat [UpdateJobQueue](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/update-job-queue.html)di *Referensi AWS CLI Perintah*.
------
#### [ Java ]
**SDK untuk Java 2.x**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples).
```
/**
* Disables the specified job queue asynchronously.
*
* @param jobQueueArn the Amazon Resource Name (ARN) of the job queue to be disabled
* @return a {@link CompletableFuture} that completes when the job queue update operation is complete,
* or completes exceptionally if an error occurs during the operation
*/
public CompletableFuture disableJobQueueAsync(String jobQueueArn) {
UpdateJobQueueRequest updateRequest = UpdateJobQueueRequest.builder()
.jobQueue(jobQueueArn)
.state(JQState.DISABLED)
.build();
CompletableFuture responseFuture = getAsyncClient().updateJobQueue(updateRequest);
return responseFuture.whenComplete((updateResponse, ex) -> {
if (ex != null) {
throw new RuntimeException("Failed to update job queue: " + ex.getMessage(), ex);
}
}).thenApply(updateResponse -> null);
}
```
+ Untuk detail API, lihat [UpdateJobQueue](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/UpdateJobQueue)di *Referensi AWS SDK for Java 2.x API*.
------
# Skenario untuk AWS Batch menggunakan AWS SDKs
Contoh kode berikut menunjukkan kepada Anda bagaimana menerapkan skenario umum AWS Batch dengan AWS SDKs. Skenario ini menunjukkan kepada Anda bagaimana menyelesaikan tugas tertentu dengan memanggil beberapa fungsi di dalam AWS Batch atau dikombinasikan dengan yang lain Layanan AWS. Setiap skenario menyertakan tautan ke kode sumber lengkap, di mana Anda dapat menemukan instruksi tentang cara mengatur dan menjalankan kode.
Skenario menargetkan tingkat pengalaman menengah untuk membantu Anda memahami tindakan layanan dalam konteks.
**Topics**
+ [Memulai dengan Batch dan Fargate](batch_example_fargate_GettingStarted_section.md)
# Memulai dengan Batch dan Fargate menggunakan CLI
Contoh kode berikut ini menunjukkan cara untuk melakukan:
+ Buat peran eksekusi IAM untuk tugas ECS
+ Buat lingkungan komputasi Fargate yang dikelola
+ Buat antrean pekerjaan dengan pengaturan prioritas
+ Daftarkan definisi pekerjaan untuk beban kerja kontainer
+ Kirim dan pantau eksekusi pekerjaan batch
+ Lihat output pekerjaan di CloudWatch Log
+ Bersihkan sumber daya dalam urutan ketergantungan yang tepat
------
#### [ Bash ]
**AWS CLI dengan skrip Bash**
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankan di repositori [tutorial pengembang Sample](https://github.com/aws-samples/sample-developer-tutorials/tree/main/tuts/011-getting-started-batch-fargate).
```
#!/bin/bash
# AWS Batch Fargate Getting Started Script - Fixed Version
# This script demonstrates creating AWS Batch resources with Fargate orchestration
#
# HIGH SEVERITY FIXES APPLIED:
# 1. Added IAM role propagation delay after role creation
# 2. Added resource state validation before deletion attempts
set -e # Exit on any error
# Configuration
SCRIPT_NAME="batch-fargate-tutorial"
LOG_FILE="${SCRIPT_NAME}-$(date +%Y%m%d-%H%M%S).log"
RANDOM_SUFFIX=$(openssl rand -hex 6)
COMPUTE_ENV_NAME="batch-fargate-compute-${RANDOM_SUFFIX}"
JOB_QUEUE_NAME="batch-fargate-queue-${RANDOM_SUFFIX}"
JOB_DEF_NAME="batch-fargate-jobdef-${RANDOM_SUFFIX}"
JOB_NAME="batch-hello-world-${RANDOM_SUFFIX}"
ROLE_NAME="BatchEcsTaskExecutionRole-${RANDOM_SUFFIX}"
TRUST_POLICY_FILE="batch-trust-policy-${RANDOM_SUFFIX}.json"
# Array to track created resources for cleanup
CREATED_RESOURCES=()
# Logging function
log() {
echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
}
# Error handling function
handle_error() {
log "ERROR: Script failed at line $1"
log "Attempting to clean up resources created so far..."
cleanup_resources
exit 1
}
# Set up error handling
trap 'handle_error $LINENO' ERR
# Function to wait for resource to be ready
wait_for_compute_env() {
local env_name=$1
log "Waiting for compute environment $env_name to be VALID..."
while true; do
local status=$(aws batch describe-compute-environments \
--compute-environments "$env_name" \
--query 'computeEnvironments[0].status' \
--output text 2>/dev/null || echo "NOT_FOUND")
if [ "$status" = "VALID" ]; then
log "Compute environment $env_name is ready"
break
elif [ "$status" = "INVALID" ] || [ "$status" = "NOT_FOUND" ]; then
log "ERROR: Compute environment $env_name failed to create properly"
return 1
fi
log "Compute environment status: $status. Waiting 10 seconds..."
sleep 10
done
}
# Function to wait for job queue to be ready
wait_for_job_queue() {
local queue_name=$1
log "Waiting for job queue $queue_name to be VALID..."
while true; do
local state=$(aws batch describe-job-queues \
--job-queues "$queue_name" \
--query 'jobQueues[0].state' \
--output text 2>/dev/null || echo "NOT_FOUND")
if [ "$state" = "ENABLED" ]; then
log "Job queue $queue_name is ready"
break
elif [ "$state" = "DISABLED" ] || [ "$state" = "NOT_FOUND" ]; then
log "ERROR: Job queue $queue_name failed to create properly"
return 1
fi
log "Job queue state: $state. Waiting 10 seconds..."
sleep 10
done
}
# Function to wait for job completion
wait_for_job() {
local job_id=$1
log "Waiting for job $job_id to complete..."
while true; do
local status=$(aws batch describe-jobs \
--jobs "$job_id" \
--query 'jobs[0].status' \
--output text 2>/dev/null || echo "NOT_FOUND")
if [ "$status" = "SUCCEEDED" ]; then
log "Job $job_id completed successfully"
break
elif [ "$status" = "FAILED" ]; then
log "ERROR: Job $job_id failed"
return 1
fi
log "Job status: $status. Waiting 30 seconds..."
sleep 30
done
}
# FIXED: Added function to wait for resource state before deletion
wait_for_resource_state() {
local resource_type=$1
local resource_name=$2
local expected_state=$3
local max_attempts=30
local attempt=0
log "Waiting for $resource_type $resource_name to reach state: $expected_state"
while [ $attempt -lt $max_attempts ]; do
local current_state=""
case $resource_type in
"JOB_QUEUE")
current_state=$(aws batch describe-job-queues \
--job-queues "$resource_name" \
--query 'jobQueues[0].state' \
--output text 2>/dev/null || echo "NOT_FOUND")
;;
"COMPUTE_ENV")
current_state=$(aws batch describe-compute-environments \
--compute-environments "$resource_name" \
--query 'computeEnvironments[0].status' \
--output text 2>/dev/null || echo "NOT_FOUND")
;;
esac
if [ "$current_state" = "$expected_state" ]; then
log "$resource_type $resource_name is now in state: $expected_state"
return 0
fi
log "$resource_type $resource_name state: $current_state (waiting for $expected_state)"
sleep 10
((attempt++))
done
log "WARNING: $resource_type $resource_name did not reach expected state after $max_attempts attempts"
return 1
}
# Cleanup function
cleanup_resources() {
log "Starting cleanup of created resources..."
# Clean up in reverse order of creation
for ((i=${#CREATED_RESOURCES[@]}-1; i>=0; i--)); do
local resource="${CREATED_RESOURCES[i]}"
local resource_type=$(echo "$resource" | cut -d: -f1)
local resource_name=$(echo "$resource" | cut -d: -f2)
log "Cleaning up $resource_type: $resource_name"
case $resource_type in
"JOB_QUEUE")
# FIXED: Validate state before deletion
aws batch update-job-queue --job-queue "$resource_name" --state DISABLED 2>/dev/null || true
wait_for_resource_state "JOB_QUEUE" "$resource_name" "DISABLED" || true
aws batch delete-job-queue --job-queue "$resource_name" 2>/dev/null || true
;;
"COMPUTE_ENV")
# FIXED: Validate state before deletion
aws batch update-compute-environment --compute-environment "$resource_name" --state DISABLED 2>/dev/null || true
wait_for_resource_state "COMPUTE_ENV" "$resource_name" "DISABLED" || true
aws batch delete-compute-environment --compute-environment "$resource_name" 2>/dev/null || true
;;
"IAM_ROLE")
aws iam detach-role-policy --role-name "$resource_name" --policy-arn "arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy" 2>/dev/null || true
aws iam delete-role --role-name "$resource_name" 2>/dev/null || true
;;
"FILE")
rm -f "$resource_name" 2>/dev/null || true
;;
esac
done
log "Cleanup completed"
}
# Main script execution
main() {
log "Starting AWS Batch Fargate tutorial script - Fixed Version"
log "Log file: $LOG_FILE"
# Get AWS account ID
log "Getting AWS account ID..."
ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text)
log "Account ID: $ACCOUNT_ID"
# Get default VPC and subnets
log "Getting default VPC and subnets..."
DEFAULT_VPC=$(aws ec2 describe-vpcs \
--filters "Name=is-default,Values=true" \
--query 'Vpcs[0].VpcId' \
--output text)
if [ "$DEFAULT_VPC" = "None" ] || [ "$DEFAULT_VPC" = "null" ]; then
log "ERROR: No default VPC found. Please create a VPC first."
exit 1
fi
log "Default VPC: $DEFAULT_VPC"
# Get subnets in the default VPC
SUBNETS=$(aws ec2 describe-subnets \
--filters "Name=vpc-id,Values=$DEFAULT_VPC" \
--query 'Subnets[*].SubnetId' \
--output text)
if [ -z "$SUBNETS" ]; then
log "ERROR: No subnets found in default VPC"
exit 1
fi
# Convert tab/space-separated subnets to JSON array format
SUBNET_ARRAY=$(echo "$SUBNETS" | tr '\t ' '\n' | sed 's/^/"/;s/$/"/' | paste -sd ',' -)
log "Subnets: $SUBNETS"
log "Subnet array: [$SUBNET_ARRAY]"
# Get default security group for the VPC
DEFAULT_SG=$(aws ec2 describe-security-groups \
--filters "Name=vpc-id,Values=$DEFAULT_VPC" "Name=group-name,Values=default" \
--query 'SecurityGroups[0].GroupId' \
--output text)
if [ "$DEFAULT_SG" = "None" ] || [ "$DEFAULT_SG" = "null" ]; then
log "ERROR: No default security group found in VPC"
exit 1
fi
log "Default security group: $DEFAULT_SG"
# Step 1: Create IAM execution role
log "Step 1: Creating IAM execution role..."
# Create trust policy document
cat > "$TRUST_POLICY_FILE" << EOF
{
"Version":"2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": "ecs-tasks.amazonaws.com"
},
"Action": "sts:AssumeRole"
}
]
}
EOF
CREATED_RESOURCES+=("FILE:$TRUST_POLICY_FILE")
# Create the role
aws iam create-role \
--role-name "$ROLE_NAME" \
--assume-role-policy-document "file://$TRUST_POLICY_FILE"
CREATED_RESOURCES+=("IAM_ROLE:$ROLE_NAME")
# Attach policy
aws iam attach-role-policy \
--role-name "$ROLE_NAME" \
--policy-arn "arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy"
log "IAM role created: $ROLE_NAME"
# FIXED: Wait for IAM role propagation
log "Waiting for IAM role propagation (15 seconds)..."
sleep 15
# Step 2: Create compute environment
log "Step 2: Creating Fargate compute environment..."
aws batch create-compute-environment \
--compute-environment-name "$COMPUTE_ENV_NAME" \
--type MANAGED \
--state ENABLED \
--compute-resources "{
\"type\": \"FARGATE\",
\"maxvCpus\": 256,
\"subnets\": [$SUBNET_ARRAY],
\"securityGroupIds\": [\"$DEFAULT_SG\"]
}"
CREATED_RESOURCES+=("COMPUTE_ENV:$COMPUTE_ENV_NAME")
# Wait for compute environment to be ready
wait_for_compute_env "$COMPUTE_ENV_NAME"
# Step 3: Create job queue
log "Step 3: Creating job queue..."
aws batch create-job-queue \
--job-queue-name "$JOB_QUEUE_NAME" \
--state ENABLED \
--priority 900 \
--compute-environment-order order=1,computeEnvironment="$COMPUTE_ENV_NAME"
CREATED_RESOURCES+=("JOB_QUEUE:$JOB_QUEUE_NAME")
# Wait for job queue to be ready
wait_for_job_queue "$JOB_QUEUE_NAME"
# Step 4: Create job definition
log "Step 4: Creating job definition..."
aws batch register-job-definition \
--job-definition-name "$JOB_DEF_NAME" \
--type container \
--platform-capabilities FARGATE \
--container-properties "{
\"image\": \"busybox\",
\"resourceRequirements\": [
{\"type\": \"VCPU\", \"value\": \"0.25\"},
{\"type\": \"MEMORY\", \"value\": \"512\"}
],
\"command\": [\"echo\", \"hello world\"],
\"networkConfiguration\": {
\"assignPublicIp\": \"ENABLED\"
},
\"executionRoleArn\": \"arn:aws:iam::${ACCOUNT_ID}:role/${ROLE_NAME}\"
}"
log "Job definition created: $JOB_DEF_NAME"
# Step 5: Submit job
log "Step 5: Submitting job..."
JOB_ID=$(aws batch submit-job \
--job-name "$JOB_NAME" \
--job-queue "$JOB_QUEUE_NAME" \
--job-definition "$JOB_DEF_NAME" \
--query 'jobId' \
--output text)
log "Job submitted with ID: $JOB_ID"
# Step 6: Wait for job completion and view output
log "Step 6: Waiting for job completion..."
wait_for_job "$JOB_ID"
# Get log stream name
log "Getting job logs..."
LOG_STREAM=$(aws batch describe-jobs \
--jobs "$JOB_ID" \
--query 'jobs[0].attempts[0].taskProperties.containers[0].logStreamName' \
--output text)
if [ "$LOG_STREAM" != "None" ] && [ "$LOG_STREAM" != "null" ]; then
log "Log stream: $LOG_STREAM"
log "Job output:"
aws logs get-log-events \
--log-group-name "/aws/batch/job" \
--log-stream-name "$LOG_STREAM" \
--query 'events[*].message' \
--output text | tee -a "$LOG_FILE"
else
log "No log stream available for job"
fi
log "Tutorial completed successfully!"
# Show created resources
echo ""
echo "==========================================="
echo "CREATED RESOURCES"
echo "==========================================="
echo "The following resources were created:"
for resource in "${CREATED_RESOURCES[@]}"; do
echo " - $resource"
done
echo ""
echo "==========================================="
echo "CLEANUP CONFIRMATION"
echo "==========================================="
echo "Do you want to clean up all created resources? (y/n): "
read -r CLEANUP_CHOICE
if [[ "$CLEANUP_CHOICE" =~ ^[Yy]$ ]]; then
cleanup_resources
log "All resources have been cleaned up"
else
log "Resources left intact. You can clean them up manually later."
echo "To clean up manually, run the following commands:"
echo "aws batch update-job-queue --job-queue $JOB_QUEUE_NAME --state DISABLED"
echo "aws batch delete-job-queue --job-queue $JOB_QUEUE_NAME"
echo "aws batch update-compute-environment --compute-environment $COMPUTE_ENV_NAME --state DISABLED"
echo "aws batch delete-compute-environment --compute-environment $COMPUTE_ENV_NAME"
echo "aws iam detach-role-policy --role-name $ROLE_NAME --policy-arn arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy"
echo "aws iam delete-role --role-name $ROLE_NAME"
fi
}
# Run main function
main "$@"
```
+ Untuk detail API, lihat topik berikut di *Referensi Perintah AWS CLI *.
+ [CreateComputeEnvironment](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/CreateComputeEnvironment)
+ [CreateJobQueue](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/CreateJobQueue)
+ [DeleteComputeEnvironment](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/DeleteComputeEnvironment)
+ [DeleteJobQueue](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/DeleteJobQueue)
+ [DescribeComputeEnvironments](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/DescribeComputeEnvironments)
+ [DescribeJobQueues](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/DescribeJobQueues)
+ [DescribeJobs](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/DescribeJobs)
+ [RegisterJobDefinition](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/RegisterJobDefinition)
+ [SubmitJob](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/SubmitJob)
+ [UpdateComputeEnvironment](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/UpdateComputeEnvironment)
+ [UpdateJobQueue](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/UpdateJobQueue)
------