Há mais exemplos de AWS SDK disponíveis no repositório [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub .

As traduções são geradas por tradução automática. Em caso de conflito entre o conteúdo da tradução e da versão original em inglês, a versão em inglês prevalecerá.

# Exemplos básicos de AWS Batch uso AWS SDKs
<a name="batch_code_examples_basics"></a>

Os exemplos de código a seguir mostram como usar o básico do AWS Batch with AWS SDKs. 

**Contents**
+ [Olá AWS Batch](batch_example_batch_Hello_section.md)
+ [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md)
+ [Ações](batch_code_examples_actions.md)
  + [`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)

# Olá AWS Batch
<a name="batch_example_batch_Hello_section"></a>

O exemplo de código a seguir mostra como começar a usar o AWS Batch.

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples). 

```
import software.amazon.awssdk.core.client.config.ClientOverrideConfiguration;
import software.amazon.awssdk.core.retry.RetryPolicy;
import software.amazon.awssdk.http.async.SdkAsyncHttpClient;
import software.amazon.awssdk.http.nio.netty.NettyNioAsyncHttpClient;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.batch.BatchAsyncClient;
import software.amazon.awssdk.services.batch.model.JobStatus;
import software.amazon.awssdk.services.batch.model.JobSummary;
import software.amazon.awssdk.services.batch.model.ListJobsRequest;
import software.amazon.awssdk.services.batch.paginators.ListJobsPublisher;
import java.time.Duration;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.CompletableFuture;

public class HelloBatch {
    private static BatchAsyncClient batchClient;

    public static void main(String[] args) {
        List<JobSummary> jobs = listJobs("my-job-queue");
        jobs.forEach(job ->
            System.out.printf("Job ID: %s, Job Name: %s, Job Status: %s%n",
                job.jobId(), job.jobName(), job.status())
        );
    }

    public static List<JobSummary> listJobs(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)
            .build();

        List<JobSummary> jobSummaries = new ArrayList<>();
        ListJobsPublisher listJobsPaginator = getAsyncClient().listJobsPaginator(listJobsRequest);
        CompletableFuture<Void> future = listJobsPaginator.subscribe(response -> {
            jobSummaries.addAll(response.jobSummaryList());
        });

        future.join();
        return jobSummaries;
    }

    private static BatchAsyncClient getAsyncClient() {
        SdkAsyncHttpClient httpClient = NettyNioAsyncHttpClient.builder()
            .maxConcurrency(100)  // Increase max concurrency to handle more simultaneous connections.
            .connectionTimeout(Duration.ofSeconds(60))  // Set the connection timeout.
            .readTimeout(Duration.ofSeconds(60))  // Set the read timeout.
            .writeTimeout(Duration.ofSeconds(60))  // Set the write timeout.
            .build();

        ClientOverrideConfiguration overrideConfig = ClientOverrideConfiguration.builder()
            .apiCallTimeout(Duration.ofMinutes(2))  // Set the overall API call timeout.
            .apiCallAttemptTimeout(Duration.ofSeconds(90))  // Set the individual call attempt timeout.
            .retryPolicy(RetryPolicy.builder()  // Add a retry policy to handle transient errors.
                .numRetries(3)  // Number of retry attempts.
                .build())
            .build();

        if (batchClient == null) {
            batchClient = BatchAsyncClient.builder()
                .region(Region.US_EAST_1)
                .httpClient(httpClient)
                .overrideConfiguration(overrideConfig)
                .build();
        }
        return batchClient;
    }
}
```
+  Para obter detalhes da API, consulte [listJobsPaginator](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/listJobsPaginator)a *Referência AWS SDK for Java 2.x da API*. 

------

# Aprenda o básico AWS Batch com um SDK AWS
<a name="batch_example_batch_Scenario_section"></a>

O exemplo de código a seguir mostra como:
+ Crie um ambiente AWS Batch computacional.
+ Verificar o status do ambiente de computação.
+ Configure uma fila de AWS Batch trabalhos e uma definição de trabalhos.
+ Registrar uma definição de tarefa.
+ Envie um AWS Batch Job.
+ Obter uma lista de trabalhos aplicáveis à fila de trabalhos.
+ Conferir o status do trabalho.
+ Exclua AWS Batch recursos.

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples). 
Execute um cenário interativo demonstrando AWS Batch recursos.  

```
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import software.amazon.awssdk.services.batch.model.BatchException;
import software.amazon.awssdk.services.batch.model.ClientException;
import software.amazon.awssdk.services.batch.model.CreateComputeEnvironmentResponse;
import software.amazon.awssdk.services.batch.model.JobSummary;
import software.amazon.awssdk.services.ec2.Ec2AsyncClient;
import software.amazon.awssdk.services.ec2.model.DescribeSecurityGroupsRequest;
import software.amazon.awssdk.services.ec2.model.DescribeSecurityGroupsResponse;
import software.amazon.awssdk.services.ec2.model.DescribeSubnetsRequest;
import software.amazon.awssdk.services.ec2.model.DescribeSubnetsResponse;
import software.amazon.awssdk.services.ec2.model.DescribeVpcsRequest;
import software.amazon.awssdk.services.ec2.model.Filter;
import software.amazon.awssdk.services.ec2.model.SecurityGroup;
import software.amazon.awssdk.services.ec2.model.Subnet;
import software.amazon.awssdk.services.ec2.model.Vpc;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.List;
import java.util.Map;
import java.util.Scanner;
import java.util.UUID;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.CompletionException;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 *
 * NOTE
 * This scenario submits a job that pulls a Docker image named echo-text from Amazon ECR to Amazon Fargate.
 *
 * To place this Docker image on Amazon ECR, run the following Basics scenario.
 *
 * https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/ecr
 *
 */
public class BatchScenario {
    public static final String DASHES = new String(new char[80]).replace("\0", "-");

    // Define two stacks used in this Basics Scenario.
    private static final String ROLES_STACK = "RolesStack";
    private static String defaultSubnet;
    private static String defaultSecurityGroup;

    private static final Logger logger = LoggerFactory.getLogger(BatchScenario.class);

    public static void main(String[] args) throws InterruptedException {

        BatchActions batchActions = new BatchActions();
        Scanner scanner = new Scanner(System.in);
        String computeEnvironmentName = "my-compute-environment";
        String jobQueueName = "my-job-queue";
        String jobDefinitionName = "my-job-definition";


        // See the NOTE in this Java code example (at start).
        String dockerImage = "dkr.ecr.us-east-1.amazonaws.com/echo-text:echo-text";

        logger.info("""
            AWS Batch is a fully managed batch processing service that dynamically provisions the required compute 
            resources for batch computing workloads. The Java V2 `BatchAsyncClient` allows 
            developers to automate the submission, monitoring, and management of batch jobs.
                        
            This scenario provides an example of setting up a compute environment, job queue and job definition, 
            and then submitting a job.
            
            This scenario submits a job that pulls a Docker image named echo-text from Amazon ECR to Amazon Fargate.
            
            To place this Docker image on Amazon ECR, run the following Basics scenario.
            
            https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/ecr
            
            Let's get started...
                        
            You have two choices:
            
            1 - Run the entire program.
            2 - Delete an existing Compute Environment (created from a previous execution of 
            this program that did not complete).
            """);

        while (true) {
            String input = scanner.nextLine();
            if (input.trim().equalsIgnoreCase("1")) {
                logger.info("Continuing with the program...");
               // logger.info("");
                break;
            } else if (input.trim().equalsIgnoreCase("2")) {
                String jobQueueARN = String.valueOf(batchActions. describeJobQueueAsync(computeEnvironmentName));
                if (!jobQueueARN.isEmpty()) {
                    batchActions.disableJobQueueAsync(jobQueueARN);
                    countdown(1);
                    batchActions.deleteJobQueueAsync(jobQueueARN);
                }

                try {
                    batchActions.disableComputeEnvironmentAsync(computeEnvironmentName)
                        .exceptionally(ex -> {
                            logger.info("Disable compute environment failed: " + ex.getMessage());
                            return null;
                        })
                        .join();
                } catch (CompletionException ex) {
                    logger.info("Failed to disable compute environment: " + ex.getMessage());
                }
                countdown(2);
                batchActions.deleteComputeEnvironmentAsync(computeEnvironmentName).join();
                return;
            } else {
                // Handle invalid input.
                logger.info("Invalid input. Please try again.");
            }
        }
        System.out.println(DASHES);

        waitForInputToContinue(scanner);
        // Get an AWS Account id used to retrieve the docker image from Amazon ECR.
        // Create a single-element array to store the `accountId` value.
        String[] accId = new String[1];
        CompletableFuture<String> accountIdFuture = batchActions.getAccountId();
        accountIdFuture.thenAccept(accountId -> {
            logger.info("Account ID: " + accountId);
            accId[0] = accountId;
        }).join();

        dockerImage = accId[0]+"."+dockerImage;

        // Get a default subnet and default security associated with the default VPC.
        getSubnetSecurityGroup();

        logger.info("Use AWS CloudFormation to create two IAM roles that are required for this scenario.");
        CloudFormationHelper.deployCloudFormationStack(ROLES_STACK);

        Map<String, String> stackOutputs = CloudFormationHelper.getStackOutputs(ROLES_STACK);
        String batchIAMRole = stackOutputs.get("BatchRoleArn");
        String executionRoleARN = stackOutputs.get("EcsRoleArn");

        logger.info("The IAM role needed to interact with AWS Batch is "+batchIAMRole);
        waitForInputToContinue(scanner);

        logger.info(DASHES);
        logger.info("1. Create a Batch compute environment");
        logger.info("""
            A compute environment is a resource where you can run your batch jobs. 
            After creating a compute environment, you can define job queues and job definitions to submit jobs for 
            execution. 
            
            The benefit of creating a compute environment is it allows you to easily configure and manage the compute 
            resources that will be used to run your Batch jobs. By separating the compute environment from the job definitions,
            you can easily scale your compute resources up or down as needed, without having to modify your job definitions. 
            This makes it easier to manage your Batch workloads and ensures that your jobs have the necessary 
            compute resources to run efficiently.
            """);

        waitForInputToContinue(scanner);
        try {
            CompletableFuture<CreateComputeEnvironmentResponse> future = batchActions.createComputeEnvironmentAsync(computeEnvironmentName, batchIAMRole, defaultSubnet, defaultSecurityGroup);
            CreateComputeEnvironmentResponse response = future.join();
            logger.info("Compute Environment ARN: " + response.computeEnvironmentArn());
        } catch (RuntimeException rte) {
            Throwable cause = rte.getCause();
            if (cause instanceof ClientException batchExceptionEx) {
                String myErrorCode = batchExceptionEx.awsErrorDetails().errorMessage();
                if ("Object already exists".contains(myErrorCode)) {
                    logger.info("The compute environment '" + computeEnvironmentName + "' already exists. Moving on...");
                } else {
                    logger.info("Batch error occurred: {} (Code: {})", batchExceptionEx.getMessage(), batchExceptionEx.awsErrorDetails().errorCode());
                    return;
                }
            } else {
                    logger.info("An unexpected error occurred: {}", (cause != null ? cause.getMessage() : rte.getMessage()));
            }
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("2. Check the status of the "+computeEnvironmentName +" Compute Environment.");
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<String> future = batchActions.checkComputeEnvironmentsStatus(computeEnvironmentName);
            String status = future.join();
            logger.info("Compute Environment Status: " + status);

        } catch (RuntimeException rte) {
            Throwable cause = rte.getCause();
            if (cause instanceof ClientException batchExceptionEx) {
                logger.info("Batch error occurred: {} (Code: {})", batchExceptionEx.getMessage(), batchExceptionEx.awsErrorDetails().errorCode());
                return;
            } else {
                logger.info("An unexpected error occurred: " + (cause != null ? cause.getMessage() : rte.getMessage()));
                return;
            }
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("3. Create a job queue");
        logger.info("""
             A job queue is an essential component that helps manage the execution of your batch jobs. 
             It acts as a buffer, where jobs are placed and then scheduled for execution based on their 
             priority and the available resources in the compute environment. 
             """);
        waitForInputToContinue(scanner);

        String jobQueueArn = null;
        try {
            CompletableFuture<String> jobQueueFuture = batchActions.createJobQueueAsync(jobQueueName, computeEnvironmentName);
            jobQueueArn = jobQueueFuture.join();
            logger.info("Job Queue ARN: " + jobQueueArn);

        } catch (RuntimeException rte) {
            Throwable cause = rte.getCause();
            if (cause instanceof BatchException batchExceptionEx) {
                String myErrorCode = batchExceptionEx.awsErrorDetails().errorMessage();
                if ("Object already exists".contains(myErrorCode)) {
                    logger.info("The job queue '" + jobQueueName + "' already exists. Moving on...");
                    // Retrieve the ARN of the job queue.
                    CompletableFuture<String> jobQueueArnFuture = batchActions.getJobQueueARN(jobQueueName);
                    jobQueueArn = jobQueueArnFuture.join();
                    logger.info("Job Queue ARN: " + jobQueueArn);
                } else {
                    logger.info("Batch error occurred: {} (Code: {})", batchExceptionEx.getMessage(), batchExceptionEx.awsErrorDetails().errorCode());
                    return;
                }
            } else {
                logger.info("An unexpected error occurred: " + (cause != null ? cause.getMessage() : rte.getMessage()));
                return; // End the execution
            }
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info("4. Register a Job Definition.");
        logger.info("""
            Registering a job in AWS Batch using the Fargate launch type ensures that all
            necessary parameters, such as the execution role, command to run, and so on
            are specified and reused across multiple job submissions.
            
             The job definition pulls a Docker image from Amazon ECR and executes the Docker image.
            """);

        waitForInputToContinue(scanner);
        String jobARN;
        try {
            String platform = "";
            while (true) {
                logger.info("""
                    On which platform/CPU architecture combination did you build the Docker image?:
                    1. Windows       X86_64
                    2. Mac or Linux  ARM64
                    3. Mac or Linux  X86_64
                                
                    Please select 1, 2, or 3.
                    """);
                String platAns = scanner.nextLine().trim();
                if (platAns.equals("1")) {
                    platform = "X86_64";
                    break; // Exit loop since a valid option is selected
                } else if (platAns.equals("2")) {
                    platform = "ARM64";
                    break; // Exit loop since a valid option is selected
                } else if (platAns.equals("3")) {
                    platform = "X86_64";
                    break; // Exit loop since a valid option is selected
                } else {
                    System.out.println("Invalid input. Please select either 1 or 2.");
                }
            }

            jobARN = batchActions.registerJobDefinitionAsync(jobDefinitionName, executionRoleARN, dockerImage, platform)
                .exceptionally(ex -> {
                    System.err.println("Register job definition failed: " + ex.getMessage());
                    return null;
                })
                .join();
            if (jobARN != null) {
                logger.info("Job ARN: " + jobARN);
            }
        } catch (RuntimeException rte) {
            logger.error("A Batch exception occurred while registering the job: {}", rte.getCause() != null ? rte.getCause().getMessage() : rte.getMessage());
            return;
        }
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("5. Submit an AWS Batch job from a job definition.");
        waitForInputToContinue(scanner);
        String jobId;
        try {
            jobId = batchActions.submitJobAsync(jobDefinitionName, jobQueueName, jobARN)
                .exceptionally(ex -> {
                    System.err.println("Submit job failed: " + ex.getMessage());
                    return null;
                })
                .join();

            logger.info("The job id is "+jobId);
            logger.info("Let's wait 2 minutes for the job to complete");
            countdown(2);

        } catch (RuntimeException rte) {
            logger.error("A Batch exception occurred while submitting the job: {}", rte.getCause() != null ? rte.getCause().getMessage() : rte.getMessage());
            return;
        }
        waitForInputToContinue(scanner);
        System.out.println(DASHES);

        logger.info(DASHES);
        logger.info("6. Get a list of jobs applicable to the job queue.");

        waitForInputToContinue(scanner);
        try {
            List<JobSummary> jobs = batchActions.listJobsAsync(jobQueueName);
            jobs.forEach(job ->
                logger.info("Job ID: {}, Job Name: {}, Job Status: {}", job.jobId(), job.jobName(), job.status()));

        } catch (RuntimeException rte) {
            logger.info("A Batch exception occurred while submitting the job: {}", rte.getCause() != null ? rte.getCause().getMessage() : rte.getMessage());
            return;
        }

        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("7. Check the status of job "+jobId);
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<String> future = batchActions.describeJobAsync(jobId);
            String jobStatus = future.join();
            logger.info("Job Status: " + jobStatus);

        } catch (RuntimeException rte) {
            logger.info("A Batch exception occurred while submitting the job: {}", rte.getCause() != null ? rte.getCause().getMessage() : rte.getMessage());
            return;
        }

        waitForInputToContinue(scanner);
        System.out.println(DASHES);

        logger.info("8. Delete Batch resources");
        logger.info(
            """
            When deleting an AWS Batch compute environment, it does not happen instantaneously. 
            There is typically a delay, similar to some other AWS resources. 
            AWS Batch starts the deletion process.
            """);
        logger.info("Would you like to delete the AWS Batch resources such as the compute environment? (y/n)");
        String delAns = scanner.nextLine().trim();
        if (delAns.equalsIgnoreCase("y")) {
            logger.info("You selected to delete the AWS ECR resources.");
            logger.info("First, we will deregister the Job Definition.");
            waitForInputToContinue(scanner);
            try {
                batchActions.deregisterJobDefinitionAsync(jobARN)
                    .exceptionally(ex -> {
                        logger.info("Deregister job definition failed: " + ex.getMessage());
                        return null;
                    })
                    .join();
                logger.info(jobARN + " was deregistered");
            } catch (RuntimeException rte) {
                logger.error("A Batch exception occurred: {}", rte.getCause() != null ? rte.getCause().getMessage() : rte.getMessage());
                return;
            }

            logger.info("Second, we will disable and then delete the Job Queue.");
            waitForInputToContinue(scanner);
            try {
                batchActions.disableJobQueueAsync(jobQueueArn)
                    .exceptionally(ex -> {
                        logger.info("Disable job queue failed: " + ex.getMessage());
                        return null;
                    })
                    .join();
                logger.info(jobQueueArn + " was disabled");
            } catch (RuntimeException rte) {
                logger.info("A Batch exception occurred: {}", rte.getCause() != null ? rte.getCause().getMessage() : rte.getMessage());
                return;
            }

            batchActions.waitForJobQueueToBeDisabledAsync(jobQueueArn);
            try {
                CompletableFuture<Void> future = batchActions.waitForJobQueueToBeDisabledAsync(jobQueueArn);
                future.join();
                logger.info("Job queue is now disabled.");
            } catch (RuntimeException rte) {
                logger.info("A Batch exception occurred: {}", rte.getCause() != null ? rte.getCause().getMessage() : rte.getMessage());
                return;
            }

            waitForInputToContinue(scanner);
            try {
                batchActions.deleteJobQueueAsync(jobQueueArn);
                logger.info(jobQueueArn +" was deleted");
            } catch (RuntimeException rte) {
                logger.info("A Batch exception occurred: {}", rte.getCause() != null ? rte.getCause().getMessage() : rte.getMessage());
                return;
            }
            logger.info("Let's wait 2 minutes for the job queue to be deleted");
            countdown(2);
            waitForInputToContinue(scanner);

            logger.info("Third, we will delete the Compute Environment.");
            waitForInputToContinue(scanner);
            try {
                batchActions.disableComputeEnvironmentAsync(computeEnvironmentName)
                    .exceptionally(ex -> {
                        System.err.println("Disable compute environment failed: " + ex.getMessage());
                        return null;
                    })
                    .join();
                logger.info("Compute environment disabled") ;
            } catch (RuntimeException rte) {
                logger.info("A Batch exception occurred: {}", rte.getCause() != null ? rte.getCause().getMessage() : rte.getMessage());
                return;
            }

            batchActions.checkComputeEnvironmentsStatus(computeEnvironmentName).thenAccept(state -> {
                logger.info("Current State: " + state);
            }).join();

            logger.info("Lets wait 1 min for the compute environment to be deleted");
            countdown(1);

            try {
                batchActions.deleteComputeEnvironmentAsync(computeEnvironmentName).join();
                logger.info(computeEnvironmentName +" was deleted.");

            } catch (RuntimeException rte) {
                logger.info("A Batch exception occurred: {}", rte.getCause() != null ? rte.getCause().getMessage() : rte.getMessage());
                return;
            }
            waitForInputToContinue(scanner);
            CloudFormationHelper.destroyCloudFormationStack(ROLES_STACK);
        }

        logger.info(DASHES);
        logger.info("This concludes the AWS Batch SDK scenario");
        logger.info(DASHES);
    }

    private static void waitForInputToContinue(Scanner scanner) {
        while (true) {
            logger.info("");
            logger.info("Enter 'c' followed by <ENTER> to continue:");
            String input = scanner.nextLine();

            if (input.trim().equalsIgnoreCase("c")) {
                logger.info("Continuing with the program...");
                logger.info("");
                break;
            } else {
                // Handle invalid input.
                logger.info("Invalid input. Please try again.");
            }
        }
    }

    public static void countdown(int minutes) throws InterruptedException {
        int seconds = 0;
        for (int i = minutes * 60 + seconds; i >= 0; i--) {
            int displayMinutes = i / 60;
            int displaySeconds = i % 60;
            System.out.print(String.format("\r%02d:%02d", displayMinutes, displaySeconds));
            Thread.sleep(1000); // Wait for 1 second
        }
        logger.info("Countdown complete!");
    }

    private static void getSubnetSecurityGroup() {
        try (Ec2AsyncClient ec2Client = Ec2AsyncClient.create()) {
            CompletableFuture<Vpc> defaultVpcFuture = ec2Client.describeVpcs(DescribeVpcsRequest.builder()
                            .filters(Filter.builder()
                                    .name("is-default")
                                    .values("true")
                                    .build())
                            .build())
                    .thenApply(response -> response.vpcs().stream()
                            .findFirst()
                            .orElseThrow(() -> new RuntimeException("Default VPC not found")));

            CompletableFuture<String> defaultSubnetFuture = defaultVpcFuture
                    .thenCompose(vpc -> ec2Client.describeSubnets(DescribeSubnetsRequest.builder()
                                    .filters(Filter.builder()
                                                    .name("vpc-id")
                                                    .values(vpc.vpcId())
                                                    .build(),
                                            Filter.builder()
                                                    .name("default-for-az")
                                                    .values("true")
                                                    .build())
                                    .build())
                            .thenApply(DescribeSubnetsResponse::subnets)
                            .thenApply(subnets -> subnets.stream()
                                    .findFirst()
                                    .map(Subnet::subnetId)
                                    .orElseThrow(() -> new RuntimeException("No default subnet found"))));

            CompletableFuture<String> defaultSecurityGroupFuture = defaultVpcFuture
                    .thenCompose(vpc -> ec2Client.describeSecurityGroups(DescribeSecurityGroupsRequest.builder()
                                    .filters(Filter.builder()
                                                    .name("group-name")
                                                    .values("default")
                                                    .build(),
                                            Filter.builder()
                                                    .name("vpc-id")
                                                    .values(vpc.vpcId())
                                                    .build())
                                    .build())
                            .thenApply(DescribeSecurityGroupsResponse::securityGroups)
                            .thenApply(securityGroups -> securityGroups.stream()
                                    .findFirst()
                                    .map(SecurityGroup::groupId)
                                    .orElseThrow(() -> new RuntimeException("No default security group found"))));

            defaultSubnet = defaultSubnetFuture.join();
            defaultSecurityGroup = defaultSecurityGroupFuture.join();
        }
    }
}
```
Uma classe wrapper para métodos do AWS Batch SDK.  

```
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import software.amazon.awssdk.core.client.config.ClientOverrideConfiguration;
import software.amazon.awssdk.core.retry.RetryPolicy;
import software.amazon.awssdk.http.async.SdkAsyncHttpClient;
import software.amazon.awssdk.http.nio.netty.NettyNioAsyncHttpClient;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.batch.BatchAsyncClient;
import software.amazon.awssdk.services.batch.BatchClient;
import software.amazon.awssdk.services.batch.model.AssignPublicIp;
import software.amazon.awssdk.services.batch.model.BatchException;
import software.amazon.awssdk.services.batch.model.CEState;
import software.amazon.awssdk.services.batch.model.CEType;
import software.amazon.awssdk.services.batch.model.CRType;
import software.amazon.awssdk.services.batch.model.ComputeEnvironmentOrder;
import software.amazon.awssdk.services.batch.model.ComputeResource;
import software.amazon.awssdk.services.batch.model.ContainerProperties;
import software.amazon.awssdk.services.batch.model.CreateComputeEnvironmentRequest;
import software.amazon.awssdk.services.batch.model.CreateComputeEnvironmentResponse;
import software.amazon.awssdk.services.batch.model.CreateJobQueueRequest;
import software.amazon.awssdk.services.batch.model.DeleteComputeEnvironmentRequest;
import software.amazon.awssdk.services.batch.model.DeleteComputeEnvironmentResponse;
import software.amazon.awssdk.services.batch.model.DeleteJobQueueRequest;
import software.amazon.awssdk.services.batch.model.DeleteJobQueueResponse;
import software.amazon.awssdk.services.batch.model.DeregisterJobDefinitionRequest;
import software.amazon.awssdk.services.batch.model.DeregisterJobDefinitionResponse;
import software.amazon.awssdk.services.batch.model.DescribeComputeEnvironmentsRequest;
import software.amazon.awssdk.services.batch.model.DescribeComputeEnvironmentsResponse;
import software.amazon.awssdk.services.batch.model.DescribeJobQueuesRequest;
import software.amazon.awssdk.services.batch.model.DescribeJobQueuesResponse;
import software.amazon.awssdk.services.batch.model.DescribeJobsRequest;
import software.amazon.awssdk.services.batch.model.DescribeJobsResponse;
import software.amazon.awssdk.services.batch.model.JQState;
import software.amazon.awssdk.services.batch.model.JobDefinitionType;
import software.amazon.awssdk.services.batch.model.JobDetail;
import software.amazon.awssdk.services.batch.model.JobQueueDetail;
import software.amazon.awssdk.services.batch.model.JobStatus;
import software.amazon.awssdk.services.batch.model.JobSummary;
import software.amazon.awssdk.services.batch.model.ListJobsRequest;
import software.amazon.awssdk.services.batch.model.RegisterJobDefinitionResponse;
import software.amazon.awssdk.services.batch.model.NetworkConfiguration;
import software.amazon.awssdk.services.batch.model.PlatformCapability;
import software.amazon.awssdk.services.batch.model.RegisterJobDefinitionRequest;
import software.amazon.awssdk.services.batch.model.ResourceRequirement;
import software.amazon.awssdk.services.batch.model.ResourceType;
import software.amazon.awssdk.services.batch.model.RuntimePlatform;
import software.amazon.awssdk.services.batch.model.SubmitJobRequest;
import software.amazon.awssdk.services.batch.model.CreateJobQueueResponse;
import java.time.Duration;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.atomic.AtomicBoolean;
import software.amazon.awssdk.auth.credentials.EnvironmentVariableCredentialsProvider;
import software.amazon.awssdk.services.batch.model.SubmitJobResponse;
import software.amazon.awssdk.services.batch.model.UpdateComputeEnvironmentRequest;
import software.amazon.awssdk.services.batch.model.UpdateComputeEnvironmentResponse;
import software.amazon.awssdk.services.batch.model.UpdateJobQueueRequest;
import software.amazon.awssdk.services.batch.model.UpdateJobQueueResponse;
import software.amazon.awssdk.services.batch.paginators.ListJobsPublisher;
import software.amazon.awssdk.services.sts.StsAsyncClient;
import software.amazon.awssdk.services.sts.model.GetCallerIdentityResponse;

public class BatchActions {
    private static BatchAsyncClient batchClient;

    private static final Logger logger = LoggerFactory.getLogger(BatchActions.class);

    private static BatchAsyncClient getAsyncClient() {
        if (batchClient == null) {
            SdkAsyncHttpClient httpClient = NettyNioAsyncHttpClient.builder()
                .maxConcurrency(100)
                .connectionTimeout(Duration.ofSeconds(60))
                .readTimeout(Duration.ofSeconds(60))
                .writeTimeout(Duration.ofSeconds(60))
                .build();

            ClientOverrideConfiguration overrideConfig = ClientOverrideConfiguration.builder()
                .apiCallTimeout(Duration.ofMinutes(2))
                .apiCallAttemptTimeout(Duration.ofSeconds(90))
                .retryPolicy(RetryPolicy.builder()
                    .numRetries(3)
                    .build())
                .build();

            batchClient = BatchAsyncClient.builder()
                .region(Region.US_EAST_1)
                .httpClient(httpClient)
                .overrideConfiguration(overrideConfig)
                .build();
        }
        return batchClient;
    }

    /**
     * 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<CreateComputeEnvironmentResponse> 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<CreateComputeEnvironmentResponse> 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;
    }

    public CompletableFuture<DeleteComputeEnvironmentResponse> 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);
                    }
                }
            });
    }

    /**
     * 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<String> 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<DescribeComputeEnvironmentsResponse> 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"));
    }

    /**
     * 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<String> 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<CreateJobQueueResponse> 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);
    }

    /**
     * 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<JobSummary> that contains the jobs that succeeded
     */
    public List<JobSummary> 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<JobSummary> jobSummaries = new ArrayList<>();
        ListJobsPublisher listJobsPaginator = getAsyncClient().listJobsPaginator(listJobsRequest);
        CompletableFuture<Void> future = listJobsPaginator.subscribe(response -> {
            jobSummaries.addAll(response.jobSummaryList());
        });
        future.join();
        return jobSummaries;
    }

    /**
     * Registers a new job definition asynchronously in AWS Batch.
     * <p>
     * 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<String> 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<String> 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<DeregisterJobDefinitionResponse> deregisterJobDefinitionAsync(String jobDefinition) {
        DeregisterJobDefinitionRequest jobDefinitionRequest = DeregisterJobDefinitionRequest.builder()
            .jobDefinition(jobDefinition)
            .build();

        CompletableFuture<DeregisterJobDefinitionResponse> 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<Void> disableJobQueueAsync(String jobQueueArn) {
        UpdateJobQueueRequest updateRequest = UpdateJobQueueRequest.builder()
            .jobQueue(jobQueueArn)
            .state(JQState.DISABLED)
            .build();

        CompletableFuture<UpdateJobQueueResponse> 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<Void> deleteJobQueueAsync(String jobQueueArn) {
        DeleteJobQueueRequest deleteRequest = DeleteJobQueueRequest.builder()
            .jobQueue(jobQueueArn)
            .build();

        CompletableFuture<DeleteJobQueueResponse> 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<String> describeJobQueueAsync(String computeEnvironmentName) {
        DescribeJobQueuesRequest describeJobQueuesRequest = DescribeJobQueuesRequest.builder()
            .build();

        CompletableFuture<DescribeJobQueuesResponse> 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<UpdateComputeEnvironmentResponse> disableComputeEnvironmentAsync(String computeEnvironmentName) {
        UpdateComputeEnvironmentRequest updateRequest = UpdateComputeEnvironmentRequest.builder()
            .computeEnvironment(computeEnvironmentName)
            .state(CEState.DISABLED)
            .build();

        CompletableFuture<UpdateComputeEnvironmentResponse> 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<String> submitJobAsync(String jobDefinitionName, String jobQueueName, String jobARN) {
        SubmitJobRequest jobRequest = SubmitJobRequest.builder()
            .jobDefinition(jobARN)
            .jobName(jobDefinitionName)
            .jobQueue(jobQueueName)
            .build();

        CompletableFuture<SubmitJobResponse> 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<String> describeJobAsync(String jobId) {
        DescribeJobsRequest describeJobsRequest = DescribeJobsRequest.builder()
            .jobs(jobId)
            .build();

        CompletableFuture<DescribeJobsResponse> 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<Void> waitForJobQueueToBeDisabledAsync(String jobQueueArn) {
        AtomicBoolean isDisabled = new AtomicBoolean(false);
        return CompletableFuture.runAsync(() -> {
            while (!isDisabled.get()) {
                DescribeJobQueuesRequest describeRequest = DescribeJobQueuesRequest.builder()
                    .jobQueues(jobQueueArn)
                    .build();

                CompletableFuture<DescribeJobQueuesResponse> 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<String> getJobQueueARN(String jobQueueName) {
        // Describe the job queue asynchronously
        CompletableFuture<DescribeJobQueuesResponse> describeJobQueuesFuture = batchClient.describeJobQueues(
            DescribeJobQueuesRequest.builder()
                .jobQueues(jobQueueName)
                .build()
        );

        // Handle the asynchronous response and return the Job Queue ARN in the CompletableFuture<String>
        CompletableFuture<String> 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<String> getAccountId() {
        StsAsyncClient stsAsyncClient = StsAsyncClient.builder()
            .region(Region.US_EAST_1)
            .build();

        return stsAsyncClient.getCallerIdentity()
            .thenApply(GetCallerIdentityResponse::account);
    }


}
```
+ Para obter detalhes da API, consulte os tópicos a seguir na *Referência da 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)

------

# Ações para AWS Batch usar AWS SDKs
<a name="batch_code_examples_actions"></a>

Os exemplos de código a seguir demonstram como realizar AWS Batch ações individuais com AWS SDKs. Cada exemplo inclui um link para GitHub, onde você pode encontrar instruções para configurar e executar o código. 

Esses trechos chamam a AWS Batch API e são trechos de código de programas maiores que devem ser executados em contexto. É possível ver as ações em contexto em [Cenários para AWS Batch usar AWS SDKs](batch_code_examples_scenarios.md). 

 Os exemplos a seguir incluem apenas as ações mais utilizadas. Para obter uma lista completa, consulte a [Referência de APIs do AWS Batch](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)

# Use `CreateComputeEnvironment` com um AWS SDK ou CLI
<a name="batch_example_batch_CreateComputeEnvironment_section"></a>

Os exemplos de código a seguir mostram como usar o `CreateComputeEnvironment`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Para criar um ambiente computacional gerenciado com instâncias sob demanda**  
Este exemplo cria um ambiente computacional gerenciado com tipos específicos de instância C4 que são executados sob demanda. O ambiente computacional é chamado de OnDemand C4.  
Comando:  

```
aws batch create-compute-environment --cli-input-json file://<path_to_json_file>/C4OnDemand.json
```
Formato de arquivo 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"
}
```
Saída:  

```
{
    "computeEnvironmentName": "C4OnDemand",
    "computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/C4OnDemand"
}
```
**Para criar um ambiente de computação gerenciado com instâncias spot**  
Este exemplo cria um ambiente de computação gerenciado com o tipo de instância M4 que é executado quando a sugestão de preço do Spot é igual ou inferior a 20% do preço sob demanda do tipo de instância. O ambiente computacional é chamado de M4Spot.  
Comando:  

```
aws batch create-compute-environment --cli-input-json file://<path_to_json_file>/M4Spot.json
```
Formato de arquivo 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"
}
```
Saída:  

```
{
    "computeEnvironmentName": "M4Spot",
    "computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/M4Spot"
}
```
+  Para obter detalhes da API, consulte [CreateComputeEnvironment](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/create-compute-environment.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<CreateComputeEnvironmentResponse> 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<CreateComputeEnvironmentResponse> 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;
    }
```
+  Para obter detalhes da API, consulte [CreateComputeEnvironment](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/CreateComputeEnvironment)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `CreateJobQueue` com um AWS SDK ou CLI
<a name="batch_example_batch_CreateJobQueue_section"></a>

Os exemplos de código a seguir mostram como usar o `CreateJobQueue`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Para criar uma fila de trabalhos de baixa prioridade com um único ambiente computacional**  
Este exemplo cria uma fila de trabalhos chamada LowPriority que usa o ambiente de computação M4Spot.  
Comando:  

```
aws batch create-job-queue --cli-input-json file://<path_to_json_file>/LowPriority.json
```
Formato de arquivo JSON:  

```
{
  "jobQueueName": "LowPriority",
  "state": "ENABLED",
  "priority": 10,
  "computeEnvironmentOrder": [
    {
      "order": 1,
      "computeEnvironment": "M4Spot"
    }
  ]
}
```
Saída:  

```
{
    "jobQueueArn": "arn:aws:batch:us-east-1:012345678910:job-queue/LowPriority",
    "jobQueueName": "LowPriority"
}
```
**Para criar uma fila de trabalhos de alta prioridade com dois ambientes computacionais**  
Este exemplo cria uma fila de trabalhos chamada HighPriority que usa o ambiente de OnDemand computação C4 com uma ordem de 1 e o ambiente de computação M4Spot com uma ordem de 2. O programador tentará primeiro colocar trabalhos no ambiente OnDemand computacional C4.  
Comando:  

```
aws batch create-job-queue --cli-input-json file://<path_to_json_file>/HighPriority.json
```
Formato de arquivo JSON:  

```
{
  "jobQueueName": "HighPriority",
  "state": "ENABLED",
  "priority": 1,
  "computeEnvironmentOrder": [
    {
      "order": 1,
      "computeEnvironment": "C4OnDemand"
    },
    {
      "order": 2,
      "computeEnvironment": "M4Spot"
    }
  ]
}
```
Saída:  

```
{
    "jobQueueArn": "arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority",
    "jobQueueName": "HighPriority"
}
```
+  Para obter detalhes da API, consulte [CreateJobQueue](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/create-job-queue.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<String> 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<CreateJobQueueResponse> 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);
    }
```
+  Para obter detalhes da API, consulte [CreateJobQueue](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/CreateJobQueue)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `DeleteComputeEnvironment` com um AWS SDK ou CLI
<a name="batch_example_batch_DeleteComputeEnvironment_section"></a>

Os exemplos de código a seguir mostram como usar o `DeleteComputeEnvironment`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Para excluir um ambiente de computação**  
Este exemplo exclui o ambiente OnDemand computacional P2.  
Comando:  

```
aws batch delete-compute-environment --compute-environment P2OnDemand
```
+  Para obter detalhes da API, consulte [DeleteComputeEnvironment](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/delete-compute-environment.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/batch#code-examples). 

```
    public CompletableFuture<DeleteComputeEnvironmentResponse> 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);
                    }
                }
            });
    }
```
+  Para obter detalhes da API, consulte [DeleteComputeEnvironment](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DeleteComputeEnvironment)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `DeleteJobQueue` com um AWS SDK ou CLI
<a name="batch_example_batch_DeleteJobQueue_section"></a>

Os exemplos de código a seguir mostram como usar o `DeleteJobQueue`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Para excluir uma fila de trabalhos**  
Este exemplo exclui a fila de trabalho GPGPU.  
Comando:  

```
aws batch delete-job-queue --job-queue GPGPU
```
+  Para obter detalhes da API, consulte [DeleteJobQueue](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/delete-job-queue.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<Void> deleteJobQueueAsync(String jobQueueArn) {
        DeleteJobQueueRequest deleteRequest = DeleteJobQueueRequest.builder()
            .jobQueue(jobQueueArn)
            .build();

        CompletableFuture<DeleteJobQueueResponse> 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);
    }
```
+  Para obter detalhes da API, consulte [DeleteJobQueue](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DeleteJobQueue)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `DeregisterJobDefinition` com um AWS SDK ou CLI
<a name="batch_example_batch_DeregisterJobDefinition_section"></a>

Os exemplos de código a seguir mostram como usar o `DeregisterJobDefinition`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto no seguinte exemplo de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Como cancelar o registro de uma definição de trabalho**  
Este exemplo cancela o registro de uma definição de trabalho chamada sleep10.  
Comando:  

```
aws batch deregister-job-definition --job-definition sleep10
```
+  Para obter detalhes da API, consulte [DeregisterJobDefinition](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/deregister-job-definition.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<DeregisterJobDefinitionResponse> deregisterJobDefinitionAsync(String jobDefinition) {
        DeregisterJobDefinitionRequest jobDefinitionRequest = DeregisterJobDefinitionRequest.builder()
            .jobDefinition(jobDefinition)
            .build();

        CompletableFuture<DeregisterJobDefinitionResponse> responseFuture = getAsyncClient().deregisterJobDefinition(jobDefinitionRequest);
        responseFuture.whenComplete((response, ex) -> {
            if (ex != null) {
                throw new RuntimeException("Unexpected error occurred: " + ex.getMessage(), ex);
            }
        });

        return responseFuture;
    }
```
+  Para obter detalhes da API, consulte [DeregisterJobDefinition](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DeregisterJobDefinition)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `DescribeComputeEnvironments` com um AWS SDK ou CLI
<a name="batch_example_batch_DescribeComputeEnvironments_section"></a>

Os exemplos de código a seguir mostram como usar o `DescribeComputeEnvironments`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Como descrever um ambiente de computação**  
Este exemplo descreve o ambiente OnDemand computacional P2.  
Comando:  

```
aws batch describe-compute-environments --compute-environments P2OnDemand
```
Saída:  

```
{
    "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"
        }
    ]
}
```
+  Para obter detalhes da API, consulte [DescribeComputeEnvironments](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/describe-compute-environments.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<String> 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<DescribeComputeEnvironmentsResponse> 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"));
    }
```
+  Para obter detalhes da API, consulte [DescribeComputeEnvironments](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DescribeComputeEnvironments)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `DescribeJobQueues` com um AWS SDK ou CLI
<a name="batch_example_batch_DescribeJobQueues_section"></a>

Os exemplos de código a seguir mostram como usar o `DescribeJobQueues`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Para descrever uma fila de trabalhos**  
Este exemplo descreve a fila HighPriority de trabalhos.  
Comando:  

```
aws batch describe-job-queues --job-queues HighPriority
```
Saída:  

```
{
    "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"
        }
    ]
}
```
+  Para obter detalhes da API, consulte [DescribeJobQueues](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/describe-job-queues.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<String> describeJobQueueAsync(String computeEnvironmentName) {
        DescribeJobQueuesRequest describeJobQueuesRequest = DescribeJobQueuesRequest.builder()
            .build();

        CompletableFuture<DescribeJobQueuesResponse> 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;
        });
    }
```
+  Para obter detalhes da API, consulte [DescribeJobQueues](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DescribeJobQueues)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `DescribeJobs` com um AWS SDK ou CLI
<a name="batch_example_batch_DescribeJobs_section"></a>

Os exemplos de código a seguir mostram como usar o `DescribeJobs`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Para descrever um trabalho**  
O exemplo `describe-jobs` a seguir descreve um trabalho com o ID de trabalho especificado.  

```
aws batch describe-jobs \
    --jobs bcf0b186-a532-4122-842e-2ccab8d54efb
```
Saída:  

```
{
    "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
        }
    ]
}
```
+  Para obter detalhes da API, consulte [DescribeJobs](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/describe-jobs.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<String> describeJobAsync(String jobId) {
        DescribeJobsRequest describeJobsRequest = DescribeJobsRequest.builder()
            .jobs(jobId)
            .build();

        CompletableFuture<DescribeJobsResponse> 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());
    }
```
+  Para obter detalhes da API, consulte [DescribeJobs](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/DescribeJobs)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `ListJobsPaginator` com um AWS SDK
<a name="batch_example_batch_ListJobsPaginator_section"></a>

O código de exemplo a seguir mostra como usar `ListJobsPaginator`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto no seguinte exemplo de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<JobSummary> that contains the jobs that succeeded
     */
    public List<JobSummary> 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<JobSummary> jobSummaries = new ArrayList<>();
        ListJobsPublisher listJobsPaginator = getAsyncClient().listJobsPaginator(listJobsRequest);
        CompletableFuture<Void> future = listJobsPaginator.subscribe(response -> {
            jobSummaries.addAll(response.jobSummaryList());
        });
        future.join();
        return jobSummaries;
    }
```
+  Para obter detalhes da API, consulte [ListJobsPaginator](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/ListJobsPaginator)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `RegisterJobDefinition` com um AWS SDK ou CLI
<a name="batch_example_batch_RegisterJobDefinition_section"></a>

Os exemplos de código a seguir mostram como usar o `RegisterJobDefinition`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Para registrar uma definição de trabalho**  
Este exemplo registra uma definição de trabalho para um trabalho de contêiner simples.  
Comando:  

```
aws batch register-job-definition --job-definition-name sleep30 --type container --container-properties '{ "image": "busybox", "vcpus": 1, "memory": 128, "command": [ "sleep", "30"]}'
```
Saída:  

```
{
    "jobDefinitionArn": "arn:aws:batch:us-east-1:012345678910:job-definition/sleep30:1",
    "jobDefinitionName": "sleep30",
    "revision": 1
}
```
+  Para obter detalhes da API, consulte [RegisterJobDefinition](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/register-job-definition.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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.
     * <p>
     * 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<String> 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<String> future = new CompletableFuture<>();
        getAsyncClient().registerJobDefinition(request)
                .thenApply(RegisterJobDefinitionResponse::jobDefinitionArn)
                .whenComplete((result, ex) -> {
                    if (ex != null) {
                        future.completeExceptionally(ex);
                    } else {
                        future.complete(result);
                    }
                });

        return future;
    }
```
+  Para obter detalhes da API, consulte [RegisterJobDefinition](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/RegisterJobDefinition)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `SubmitJob` com um AWS SDK ou CLI
<a name="batch_example_batch_SubmitJob_section"></a>

Os exemplos de código a seguir mostram como usar o `SubmitJob`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Como enviar um trabalho**  
Este exemplo envia um trabalho de contêiner simples chamado example para a fila de HighPriority trabalhos.  
Comando:  

```
aws batch submit-job --job-name example --job-queue HighPriority  --job-definition sleep60
```
Saída:  

```
{
    "jobName": "example",
    "jobId": "876da822-4198-45f2-a252-6cea32512ea8"
}
```
+  Para obter detalhes da API, consulte [SubmitJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/submit-job.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<String> submitJobAsync(String jobDefinitionName, String jobQueueName, String jobARN) {
        SubmitJobRequest jobRequest = SubmitJobRequest.builder()
            .jobDefinition(jobARN)
            .jobName(jobDefinitionName)
            .jobQueue(jobQueueName)
            .build();

        CompletableFuture<SubmitJobResponse> 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);
    }
```
+  Para obter detalhes da API, consulte [SubmitJob](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/SubmitJob)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `UpdateComputeEnvironment` com um AWS SDK ou CLI
<a name="batch_example_batch_UpdateComputeEnvironment_section"></a>

Os exemplos de código a seguir mostram como usar o `UpdateComputeEnvironment`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Para atualizar um ambiente de computação**  
Este exemplo desativa o ambiente OnDemand computacional P2 para que ele possa ser excluído.  
Comando:  

```
aws batch update-compute-environment --compute-environment P2OnDemand --state DISABLED
```
Saída:  

```
{
    "computeEnvironmentName": "P2OnDemand",
    "computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/P2OnDemand"
}
```
+  Para obter detalhes da API, consulte [UpdateComputeEnvironment](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/update-compute-environment.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<UpdateComputeEnvironmentResponse> disableComputeEnvironmentAsync(String computeEnvironmentName) {
        UpdateComputeEnvironmentRequest updateRequest = UpdateComputeEnvironmentRequest.builder()
            .computeEnvironment(computeEnvironmentName)
            .state(CEState.DISABLED)
            .build();

        CompletableFuture<UpdateComputeEnvironmentResponse> responseFuture = getAsyncClient().updateComputeEnvironment(updateRequest);
        responseFuture.whenComplete((response, ex) -> {
            if (ex != null) {
                throw new RuntimeException("Failed to disable compute environment: " + ex.getMessage(), ex);
            }
        });

        return responseFuture;
    }
```
+  Para obter detalhes da API, consulte [UpdateComputeEnvironment](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/UpdateComputeEnvironment)a *Referência AWS SDK for Java 2.x da API*. 

------

# Use `UpdateJobQueue` com um AWS SDK ou CLI
<a name="batch_example_batch_UpdateJobQueue_section"></a>

Os exemplos de código a seguir mostram como usar o `UpdateJobQueue`.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código: 
+  [Conheça os conceitos básicos](batch_example_batch_Scenario_section.md) 
+  [Conceitos básicos do Batch e do Fargate](batch_example_fargate_GettingStarted_section.md) 

------
#### [ CLI ]

**AWS CLI**  
**Para atualizar uma fila de trabalhos**  
Este exemplo desabilita uma fila de trabalhos para que ela possa ser excluída.  
Comando:  

```
aws batch update-job-queue --job-queue GPGPU --state DISABLED
```
Saída:  

```
{
    "jobQueueArn": "arn:aws:batch:us-east-1:012345678910:job-queue/GPGPU",
    "jobQueueName": "GPGPU"
}
```
+  Para obter detalhes da API, consulte [UpdateJobQueue](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/batch/update-job-queue.html)em *Referência de AWS CLI Comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](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<Void> disableJobQueueAsync(String jobQueueArn) {
        UpdateJobQueueRequest updateRequest = UpdateJobQueueRequest.builder()
            .jobQueue(jobQueueArn)
            .state(JQState.DISABLED)
            .build();

        CompletableFuture<UpdateJobQueueResponse> 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);
    }
```
+  Para obter detalhes da API, consulte [UpdateJobQueue](https://docs.aws.amazon.com/goto/SdkForJavaV2/batch-2016-08-10/UpdateJobQueue)a *Referência AWS SDK for Java 2.x da API*. 

------