文档 AWS SDK 示例 GitHub 存储库中还有更多 [S AWS DK 示例](https://github.com/awsdocs/aws-doc-sdk-examples)。

本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。

# 使用 Amazon S3 控制的代码示例 AWS SDKs
<a name="s3-control_code_examples"></a>

以下代码示例向您展示了如何将 Amazon S3 控制与 AWS 软件开发套件 (SDK) 配合使用。

*基本功能*是向您展示如何在服务中执行基本操作的代码示例。

*操作*是大型程序的代码摘录，必须在上下文中运行。您可以通过操作了解如何调用单个服务函数，还可以通过函数相关场景的上下文查看操作。

**更多资源**
+  **[ Amazon S3 Control 用户指南](https://docs.aws.amazon.com/AmazonS3/latest/userguide/Welcome.html)**——获取有关 Amazon S3 Control 的更多信息。
+ **[Amazon S3 Control API 参考](https://docs.aws.amazon.com/AmazonS3/latest/API/Welcome.html)**——有关所有可用的 Amazon S3 控制操作的详细信息。
+ **[AWS 开发者中心](https://aws.amazon.com/developer/code-examples/?awsf.sdk-code-examples-product=product%23)** — 您可以按类别或全文搜索筛选的代码示例。
+ **[AWS SDK 示例](https://github.com/awsdocs/aws-doc-sdk-examples)** — 包含首选语言完整代码的 GitHub 存储库。包括有关设置和运行代码的说明。

**Contents**
+ [基本功能](s3-control_code_examples_basics.md)
  + [Hello Amazon S3 Control](s3-control_example_s3-control_Hello_section.md)
  + [了解基本功能](s3-control_example_s3-control_Basics_section.md)
  + [操作](s3-control_code_examples_actions.md)
    + [`CreateJob`](s3-control_example_s3-control_CreateJob_section.md)
    + [`DeleteJobTagging`](s3-control_example_s3-control_DeleteJobTagging_section.md)
    + [`DescribeJob`](s3-control_example_s3-control_DescribeJob_section.md)
    + [`GetJobTagging`](s3-control_example_s3-control_GetJobTagging_section.md)
    + [`PutJobTagging`](s3-control_example_s3-control_PutJobTagging_section.md)
    + [`UpdateJobPriority`](s3-control_example_s3-control_UpdateJobPriority_section.md)
    + [`UpdateJobStatus`](s3-control_example_s3-control_UpdateJobStatus_section.md)

# 使用 Amazon S3 控制的基本示例 AWS SDKs
<a name="s3-control_code_examples_basics"></a>

以下代码示例展示了如何使用 Amazon S3 控件的基础知识 AWS SDKs。

**Contents**
+ [Hello Amazon S3 Control](s3-control_example_s3-control_Hello_section.md)
+ [了解基本功能](s3-control_example_s3-control_Basics_section.md)
+ [操作](s3-control_code_examples_actions.md)
  + [`CreateJob`](s3-control_example_s3-control_CreateJob_section.md)
  + [`DeleteJobTagging`](s3-control_example_s3-control_DeleteJobTagging_section.md)
  + [`DescribeJob`](s3-control_example_s3-control_DescribeJob_section.md)
  + [`GetJobTagging`](s3-control_example_s3-control_GetJobTagging_section.md)
  + [`PutJobTagging`](s3-control_example_s3-control_PutJobTagging_section.md)
  + [`UpdateJobPriority`](s3-control_example_s3-control_UpdateJobPriority_section.md)
  + [`UpdateJobStatus`](s3-control_example_s3-control_UpdateJobStatus_section.md)

# Hello Amazon S3 Control
<a name="s3-control_example_s3-control_Hello_section"></a>

以下代码示例展示了如何开始使用 Amazon S3 Control。

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

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/s3/src/main/java/com/example/s3/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
import software.amazon.awssdk.auth.credentials.EnvironmentVariableCredentialsProvider;
import software.amazon.awssdk.core.client.config.ClientOverrideConfiguration;
import software.amazon.awssdk.core.retry.RetryMode;
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.s3control.S3ControlAsyncClient;
import software.amazon.awssdk.services.s3control.model.JobListDescriptor;
import software.amazon.awssdk.services.s3control.model.JobStatus;
import software.amazon.awssdk.services.s3control.model.ListJobsRequest;
import software.amazon.awssdk.services.s3control.paginators.ListJobsPublisher;
import java.time.Duration;
import java.util.List;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.CompletionException;

/**
 * Before running this example:
 * <p/>
 * The SDK must be able to authenticate AWS requests on your behalf. If you have not configured
 * authentication for SDKs and tools,see https://docs.aws.amazon.com/sdkref/latest/guide/access.html in the AWS SDKs and Tools Reference Guide.
 * <p/>
 * You must have a runtime environment configured with the Java SDK.
 * See https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/setup.html in the Developer Guide if this is not set up.
 */
public class HelloS3Batch {
    private static S3ControlAsyncClient asyncClient;

    public static void main(String[] args) {
        S3BatchActions actions = new S3BatchActions();
        String accountId = actions.getAccountId();
        try {
            listBatchJobsAsync(accountId)
                .exceptionally(ex -> {
                    System.err.println("List batch jobs failed: " + ex.getMessage());
                    return null;
                })
                .join();

        } catch (CompletionException ex) {
            System.err.println("Failed to list batch jobs: " + ex.getMessage());
        }
    }

    /**
     * Retrieves the asynchronous S3 Control client instance.
     * <p>
     * This method creates and returns a singleton instance of the {@link S3ControlAsyncClient}. If the instance
     * has not been created yet, it will be initialized with the following configuration:
     * <ul>
     *   <li>Maximum concurrency: 100</li>
     *   <li>Connection timeout: 60 seconds</li>
     *   <li>Read timeout: 60 seconds</li>
     *   <li>Write timeout: 60 seconds</li>
     *   <li>API call timeout: 2 minutes</li>
     *   <li>API call attempt timeout: 90 seconds</li>
     *   <li>Retry policy: 3 retries</li>
     *   <li>Region: US_EAST_1</li>
     *   <li>Credentials provider: {@link EnvironmentVariableCredentialsProvider}</li>
     * </ul>
     *
     * @return the asynchronous S3 Control client instance
     */
    private static S3ControlAsyncClient getAsyncClient() {
        if (asyncClient == 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))
                .retryStrategy(RetryMode.STANDARD)
                .build();

            asyncClient = S3ControlAsyncClient.builder()
                .region(Region.US_EAST_1)
                .httpClient(httpClient)
                .overrideConfiguration(overrideConfig)
                .build();
        }
        return asyncClient;
    }

    /**
     * Asynchronously lists batch jobs that have completed for the specified account.
     *
     * @param accountId the ID of the account to list jobs for
     * @return a CompletableFuture that completes when the job listing operation is finished
     */
    public static CompletableFuture<Void> listBatchJobsAsync(String accountId) {
        ListJobsRequest jobsRequest = ListJobsRequest.builder()
            .jobStatuses(JobStatus.COMPLETE)
            .accountId(accountId)
            .maxResults(10)
            .build();

        ListJobsPublisher publisher = getAsyncClient().listJobsPaginator(jobsRequest);
        return publisher.subscribe(response -> {
            List<JobListDescriptor> jobs = response.jobs();
            for (JobListDescriptor job : jobs) {
                System.out.println("The job id is " + job.jobId());
                System.out.println("The job priority is " + job.priority());
            }
        }).thenAccept(response -> {
            System.out.println("Listing batch jobs completed");
        }).exceptionally(ex -> {
            System.err.println("Failed to list batch jobs: " + ex.getMessage());
            throw new RuntimeException(ex);
        });
    }
```
+  有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[ListJobs](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/ListJobs)*中的。

------
#### [ Python ]

**适用于 Python 的 SDK（Boto3）**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/s3/scenarios/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    def list_jobs(self, account_id: str) -> None:
        """
        List all batch jobs for the account.

        Args:
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.list_jobs(
                AccountId=account_id,
                JobStatuses=['Active', 'Complete', 'Cancelled', 'Failed', 'New', 'Paused', 'Pausing', 'Preparing', 'Ready', 'Suspended']
            )
            jobs = response.get('Jobs', [])
            for job in jobs:
                print(f"The job id is {job['JobId']}")
                print(f"The job priority is {job['Priority']}")
        except ClientError as e:
            print(f"Error listing jobs: {e}")
            raise
```
+  有关 API 的详细信息，请参阅适用[ListJobs](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/ListJobs)于 *Python 的AWS SDK (Boto3) API 参考*。

------

# 通过 AWS 软件开发工具包学习 Amazon S3 控制的基础知识
<a name="s3-control_example_s3-control_Basics_section"></a>

以下代码示例展示了如何学习 Amazon S3 控制的核心操作。

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

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/s3/src/main/java/com/example/s3/batch#code-examples)中查找完整示例，了解如何进行设置和运行。
了解核心操作。  

```
package com.example.s3.batch;

import software.amazon.awssdk.services.s3.model.S3Exception;
import java.io.IOException;
import java.util.Map;
import java.util.Scanner;
import java.util.UUID;
import java.util.concurrent.CompletionException;

public class S3BatchScenario {

    public static final String DASHES = new String(new char[80]).replace("\0", "-");
    private static final String STACK_NAME = "MyS3Stack";
    public static void main(String[] args) throws IOException {
        S3BatchActions actions = new S3BatchActions();
        String accountId = actions.getAccountId();
        String uuid = java.util.UUID.randomUUID().toString();
        Scanner scanner = new Scanner(System.in);

        System.out.println(DASHES);
        System.out.println("Welcome to the Amazon S3 Batch basics scenario.");
        System.out.println("""
            S3 Batch operations enables efficient and cost-effective processing of large-scale 
            data stored in Amazon S3. It automatically scales resources to handle varying workloads 
            without the need for manual intervention. 
                        
            One of the key features of S3 Batch is its ability to perform tagging operations on objects stored in 
            S3 buckets. Users can leverage S3 Batch to apply, update, or remove tags on thousands or millions of 
            objects in a single operation, streamlining the management and organization of their data. 
                        
            This can be particularly useful for tasks such as cost allocation, lifecycle management, or 
            metadata-driven workflows, where consistent and accurate tagging is essential. 
            S3 Batch's scalability and serverless nature make it an ideal solution for organizations with 
            growing data volumes and complex data management requirements.
                        
            This Java program walks you through Amazon S3 Batch operations. 
                        
            Let's get started...
                   
            """);
        waitForInputToContinue(scanner);
        // Use CloudFormation to stand up the resource required for this scenario.
        System.out.println("Use CloudFormation to stand up the resource required for this scenario.");
        CloudFormationHelper.deployCloudFormationStack(STACK_NAME);

        Map<String, String> stackOutputs = CloudFormationHelper.getStackOutputs(STACK_NAME);
        String iamRoleArn = stackOutputs.get("S3BatchRoleArn");
        System.out.println(DASHES);

        System.out.println(DASHES);
        System.out.println("Setup the required bucket for this scenario.");
        waitForInputToContinue(scanner);
        String bucketName = "amzn-s3-demo-bucket-" + UUID.randomUUID(); // Change bucket name. 
        actions.createBucket(bucketName);
        String reportBucketName = "arn:aws:s3:::"+bucketName;
        String manifestLocation = "arn:aws:s3:::"+bucketName+"/job-manifest.csv";
        System.out.println("Populate the bucket with the required files.");
        String[] fileNames = {"job-manifest.csv", "object-key-1.txt", "object-key-2.txt", "object-key-3.txt", "object-key-4.txt"};
        actions.uploadFilesToBucket(bucketName, fileNames, actions);
        waitForInputToContinue(scanner);
        System.out.println(DASHES);

        System.out.println(DASHES);
        System.out.println("1. Create a S3 Batch Job");
        System.out.println("This job tags all objects listed in the manifest file with tags");
        waitForInputToContinue(scanner);
        String jobId ;
        try {
            jobId = actions.createS3JobAsync(accountId, iamRoleArn, manifestLocation, reportBucketName, uuid).join();
            System.out.println("The Job id is " + jobId);

        } catch (S3Exception e) {
            System.err.println("SSM error: " + e.getMessage());
            return;
        } catch (RuntimeException e) {
            System.err.println("Unexpected error: " + e.getMessage());
            return;
        }

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

        System.out.println(DASHES);
        System.out.println("2. Update an existing S3 Batch Operations job's priority");
        System.out.println("""
             In this step, we modify the job priority value. The higher the number, the higher the priority. 
             So, a job with a priority of `30` would have a higher priority than a job with 
             a priority of `20`. This is a common way to represent the priority of a task 
             or job, with higher numbers indicating a higher priority.
             
             Ensure that the job status allows for priority updates. Jobs in certain 
             states (e.g., Cancelled, Failed, or Completed) cannot have their priorities 
             updated. Only jobs in the Active or Suspended state typically allow priority 
             updates.
             """);

        try {
            actions.updateJobPriorityAsync(jobId, accountId)
                .exceptionally(ex -> {
                    System.err.println("Update job priority failed: " + ex.getMessage());
                    return null;
                })
                .join();
        } catch (CompletionException ex) {
            System.err.println("Failed to update job priority: " + ex.getMessage());
        }
        waitForInputToContinue(scanner);
        System.out.println(DASHES);

        System.out.println(DASHES);
        System.out.println("3. Cancel the S3 Batch job");
        System.out.print("Do you want to cancel the Batch job? (y/n): ");
        String cancelAns = scanner.nextLine();
        if (cancelAns != null && cancelAns.trim().equalsIgnoreCase("y")) {
            try {
                actions.cancelJobAsync(jobId, accountId)
                    .exceptionally(ex -> {
                        System.err.println("Cancel job failed: " + ex.getMessage());
                        return null;
                    })
                    .join();
            } catch (CompletionException ex) {
                System.err.println("Failed to cancel job: " + ex.getMessage());
            }
        } else {
            System.out.println("Job " +jobId +" was not canceled.");
        }
        System.out.println(DASHES);

        System.out.println(DASHES);
        System.out.println("4. Describe the job that was just created");
        waitForInputToContinue(scanner);
        try {
            actions.describeJobAsync(jobId, accountId)
                .exceptionally(ex -> {
                    System.err.println("Describe job failed: " + ex.getMessage());
                    return null;
                })
                .join();
        } catch (CompletionException ex) {
            System.err.println("Failed to describe job: " + ex.getMessage());
        }
        System.out.println(DASHES);

        System.out.println(DASHES);
        System.out.println("5. Describe the tags associated with the job");
        waitForInputToContinue(scanner);
        try {
            actions.getJobTagsAsync(jobId, accountId)
                .exceptionally(ex -> {
                    System.err.println("Get job tags failed: " + ex.getMessage());
                    return null;
                })
                .join();
        } catch (CompletionException ex) {
            System.err.println("Failed to get job tags: " + ex.getMessage());
        }
        System.out.println(DASHES);

        System.out.println(DASHES);
        System.out.println("6. Update Batch Job Tags");
        waitForInputToContinue(scanner);
        try {
            actions.putJobTaggingAsync(jobId, accountId)
                .exceptionally(ex -> {
                    System.err.println("Put job tagging failed: " + ex.getMessage());
                    return null;
                })
                .join();
        } catch (CompletionException ex) {
            System.err.println("Failed to put job tagging: " + ex.getMessage());
        }
        System.out.println(DASHES);

        System.out.println(DASHES);
        System.out.println("7. Delete the Amazon S3 Batch job tagging.");
        System.out.print("Do you want to delete Batch job tagging? (y/n)");
        String delAns = scanner.nextLine();
        if (delAns != null && delAns.trim().equalsIgnoreCase("y")) {
            try {
                actions.deleteBatchJobTagsAsync(jobId, accountId)
                    .exceptionally(ex -> {
                        System.err.println("Delete batch job tags failed: " + ex.getMessage());
                        return null;
                    })
                    .join();
            } catch (CompletionException ex) {
                System.err.println("Failed to delete batch job tags: " + ex.getMessage());
            }
        } else {
            System.out.println("Tagging was not deleted.");
        }
        System.out.println(DASHES);

        System.out.println(DASHES);
        System.out.print("Do you want to delete the AWS resources used in this scenario? (y/n)");
        String delResAns = scanner.nextLine();
        if (delResAns != null && delResAns.trim().equalsIgnoreCase("y")) {
            actions.deleteFilesFromBucket(bucketName, fileNames, actions);
            actions.deleteBucketFolderAsync(bucketName);
            actions.deleteBucket(bucketName)
                .thenRun(() -> System.out.println("Bucket deletion completed"))
                .exceptionally(ex -> {
                    System.err.println("Error occurred: " + ex.getMessage());
                    return null;
                });
            CloudFormationHelper.destroyCloudFormationStack(STACK_NAME);
        } else {
            System.out.println("The AWS resources were not deleted.");
        }
        System.out.println("The Amazon S3 Batch scenario has successfully completed.");
        System.out.println(DASHES);
    }

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

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


}
```
封装操作的操作类。  

```
public class S3BatchActions {

    private static S3ControlAsyncClient asyncClient;

    private static S3AsyncClient s3AsyncClient ;
    /**
     * Retrieves the asynchronous S3 Control client instance.
     * <p>
     * This method creates and returns a singleton instance of the {@link S3ControlAsyncClient}. If the instance
     * has not been created yet, it will be initialized with the following configuration:
     * <ul>
     *   <li>Maximum concurrency: 100</li>
     *   <li>Connection timeout: 60 seconds</li>
     *   <li>Read timeout: 60 seconds</li>
     *   <li>Write timeout: 60 seconds</li>
     *   <li>API call timeout: 2 minutes</li>
     *   <li>API call attempt timeout: 90 seconds</li>
     *   <li>Retry policy: 3 retries</li>
     *   <li>Region: US_EAST_1</li>
     *   <li>Credentials provider: {@link EnvironmentVariableCredentialsProvider}</li>
     * </ul>
     *
     * @return the asynchronous S3 Control client instance
     */
    private static S3ControlAsyncClient getAsyncClient() {
        if (asyncClient == 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();

            asyncClient = S3ControlAsyncClient.builder()
                .region(Region.US_EAST_1)
                .httpClient(httpClient)
                .overrideConfiguration(overrideConfig)
                .build();
        }
        return asyncClient;
    }

    private static S3AsyncClient getS3AsyncClient() {
        if (asyncClient == 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))
                .retryStrategy(RetryMode.STANDARD)
                .build();

            s3AsyncClient = S3AsyncClient.builder()
                .region(Region.US_EAST_1)
                .httpClient(httpClient)
                .overrideConfiguration(overrideConfig)
                .build();
        }
        return s3AsyncClient;
    }


    /**
     * Cancels a job asynchronously.
     *
     * @param jobId The ID of the job to be canceled.
     * @param accountId The ID of the account associated with the job.
     * @return A {@link CompletableFuture} that completes when the job status has been updated to "CANCELLED".
     *         If an error occurs during the update, the returned future will complete exceptionally.
     */
    public CompletableFuture<Void> cancelJobAsync(String jobId, String accountId) {
        UpdateJobStatusRequest updateJobStatusRequest = UpdateJobStatusRequest.builder()
            .accountId(accountId)
            .jobId(jobId)
            .requestedJobStatus(String.valueOf(JobStatus.CANCELLED))
            .build();

        return asyncClient.updateJobStatus(updateJobStatusRequest)
            .thenAccept(updateJobStatusResponse -> {
                System.out.println("Job status updated to: " + updateJobStatusResponse.status());
            })
            .exceptionally(ex -> {
                System.err.println("Failed to cancel job: " + ex.getMessage());
                throw new RuntimeException(ex); // Propagate the exception
            });
    }

    /**
     * Updates the priority of a job asynchronously.
     *
     * @param jobId     the ID of the job to update
     * @param accountId the ID of the account associated with the job
     * @return a {@link CompletableFuture} that represents the asynchronous operation, which completes when the job priority has been updated or an error has occurred
     */
    public CompletableFuture<Void> updateJobPriorityAsync(String jobId, String accountId) {
        UpdateJobPriorityRequest priorityRequest = UpdateJobPriorityRequest.builder()
            .accountId(accountId)
            .jobId(jobId)
            .priority(60)
            .build();

        CompletableFuture<Void> future = new CompletableFuture<>();
        getAsyncClient().updateJobPriority(priorityRequest)
            .thenAccept(response -> {
                System.out.println("The job priority was updated");
                future.complete(null); // Complete the CompletableFuture on successful execution
            })
            .exceptionally(ex -> {
                System.err.println("Failed to update job priority: " + ex.getMessage());
                future.completeExceptionally(ex); // Complete the CompletableFuture exceptionally on error
                return null; // Return null to handle the exception
            });

        return future;
    }

    /**
     * Asynchronously retrieves the tags associated with a specific job in an AWS account.
     *
     * @param jobId     the ID of the job for which to retrieve the tags
     * @param accountId the ID of the AWS account associated with the job
     * @return a {@link CompletableFuture} that completes when the job tags have been retrieved, or with an exception if the operation fails
     * @throws RuntimeException if an error occurs while retrieving the job tags
     */
    public CompletableFuture<Void> getJobTagsAsync(String jobId, String accountId) {
        GetJobTaggingRequest request = GetJobTaggingRequest.builder()
            .jobId(jobId)
            .accountId(accountId)
            .build();

        return asyncClient.getJobTagging(request)
            .thenAccept(response -> {
                List<S3Tag> tags = response.tags();
                if (tags.isEmpty()) {
                    System.out.println("No tags found for job ID: " + jobId);
                } else {
                    for (S3Tag tag : tags) {
                        System.out.println("Tag key is: " + tag.key());
                        System.out.println("Tag value is: " + tag.value());
                    }
                }
            })
            .exceptionally(ex -> {
                System.err.println("Failed to get job tags: " + ex.getMessage());
                throw new RuntimeException(ex); // Propagate the exception
            });
    }

    /**
     * Asynchronously deletes the tags associated with a specific batch job.
     *
     * @param jobId     The ID of the batch job whose tags should be deleted.
     * @param accountId The ID of the account associated with the batch job.
     * @return A CompletableFuture that completes when the job tags have been successfully deleted, or an exception is thrown if the deletion fails.
     */
    public CompletableFuture<Void> deleteBatchJobTagsAsync(String jobId, String accountId) {
        DeleteJobTaggingRequest jobTaggingRequest = DeleteJobTaggingRequest.builder()
            .accountId(accountId)
            .jobId(jobId)
            .build();

        return asyncClient.deleteJobTagging(jobTaggingRequest)
            .thenAccept(response -> {
                System.out.println("You have successfully deleted " + jobId + " tagging.");
            })
            .exceptionally(ex -> {
                System.err.println("Failed to delete job tags: " + ex.getMessage());
                throw new RuntimeException(ex);
            });
    }

    /**
     * Asynchronously describes the specified job.
     *
     * @param jobId     the ID of the job to describe
     * @param accountId the ID of the AWS account associated with the job
     * @return a {@link CompletableFuture} that completes when the job description is available
     * @throws RuntimeException if an error occurs while describing the job
     */
    public CompletableFuture<Void> describeJobAsync(String jobId, String accountId) {
        DescribeJobRequest jobRequest = DescribeJobRequest.builder()
            .jobId(jobId)
            .accountId(accountId)
            .build();

        return getAsyncClient().describeJob(jobRequest)
            .thenAccept(response -> {
                System.out.println("Job ID: " + response.job().jobId());
                System.out.println("Description: " + response.job().description());
                System.out.println("Status: " + response.job().statusAsString());
                System.out.println("Role ARN: " + response.job().roleArn());
                System.out.println("Priority: " + response.job().priority());
                System.out.println("Progress Summary: " + response.job().progressSummary());

                // Print out details about the job manifest.
                JobManifest manifest = response.job().manifest();
                System.out.println("Manifest Location: " + manifest.location().objectArn());
                System.out.println("Manifest ETag: " + manifest.location().eTag());

                // Print out details about the job operation.
                JobOperation operation = response.job().operation();
                if (operation.s3PutObjectTagging() != null) {
                    System.out.println("Operation: S3 Put Object Tagging");
                    System.out.println("Tag Set: " + operation.s3PutObjectTagging().tagSet());
                }

                // Print out details about the job report.
                JobReport report = response.job().report();
                System.out.println("Report Bucket: " + report.bucket());
                System.out.println("Report Prefix: " + report.prefix());
                System.out.println("Report Format: " + report.format());
                System.out.println("Report Enabled: " + report.enabled());
                System.out.println("Report Scope: " + report.reportScopeAsString());
            })
            .exceptionally(ex -> {
                System.err.println("Failed to describe job: " + ex.getMessage());
                throw new RuntimeException(ex);
            });
    }

    /**
     * Creates an asynchronous S3 job using the AWS Java SDK.
     *
     * @param accountId         the AWS account ID associated with the job
     * @param iamRoleArn        the ARN of the IAM role to be used for the job
     * @param manifestLocation  the location of the job manifest file in S3
     * @param reportBucketName  the name of the S3 bucket to store the job report
     * @param uuid              a unique identifier for the job
     * @return a CompletableFuture that represents the asynchronous creation of the S3 job.
     *         The CompletableFuture will return the job ID if the job is created successfully,
     *         or throw an exception if there is an error.
     */
    public CompletableFuture<String> createS3JobAsync(String accountId, String iamRoleArn,
                                                      String manifestLocation, String reportBucketName, String uuid) {

        String[] bucketName = new String[]{""};
        String[] parts = reportBucketName.split(":::");
        if (parts.length > 1) {
            bucketName[0] = parts[1];
        } else {
            System.out.println("The input string does not contain the expected format.");
        }

        return CompletableFuture.supplyAsync(() -> getETag(bucketName[0], "job-manifest.csv"))
            .thenCompose(eTag -> {
                  ArrayList<S3Tag> tagSet = new ArrayList<>();
                S3Tag s3Tag = S3Tag.builder()
                    .key("keyOne")
                    .value("ValueOne")
                    .build();
                S3Tag s3Tag2 = S3Tag.builder()
                    .key("keyTwo")
                    .value("ValueTwo")
                    .build();
                tagSet.add(s3Tag);
                tagSet.add(s3Tag2);

                S3SetObjectTaggingOperation objectTaggingOperation = S3SetObjectTaggingOperation.builder()
                    .tagSet(tagSet)
                    .build();

                JobOperation jobOperation = JobOperation.builder()
                    .s3PutObjectTagging(objectTaggingOperation)
                    .build();

                JobManifestLocation jobManifestLocation = JobManifestLocation.builder()
                    .objectArn(manifestLocation)
                    .eTag(eTag)
                    .build();

                JobManifestSpec manifestSpec = JobManifestSpec.builder()
                    .fieldsWithStrings("Bucket", "Key")
                    .format("S3BatchOperations_CSV_20180820")
                    .build();

                JobManifest jobManifest = JobManifest.builder()
                    .spec(manifestSpec)
                    .location(jobManifestLocation)
                    .build();

                JobReport jobReport = JobReport.builder()
                    .bucket(reportBucketName)
                    .prefix("reports")
                    .format("Report_CSV_20180820")
                    .enabled(true)
                    .reportScope("AllTasks")
                    .build();

                CreateJobRequest jobRequest = CreateJobRequest.builder()
                    .accountId(accountId)
                    .description("Job created using the AWS Java SDK")
                    .manifest(jobManifest)
                    .operation(jobOperation)
                    .report(jobReport)
                    .priority(42)
                    .roleArn(iamRoleArn)
                    .clientRequestToken(uuid)
                    .confirmationRequired(false)
                    .build();

                // Create the job asynchronously.
                 return getAsyncClient().createJob(jobRequest)
                    .thenApply(CreateJobResponse::jobId);
                 })
                 .handle((jobId, ex) -> {
                    if (ex != null) {
                    Throwable cause = (ex instanceof CompletionException) ? ex.getCause() : ex;
                    if (cause instanceof S3ControlException) {
                        throw new CompletionException(cause);
                    } else {
                        throw new RuntimeException(cause);
                    }
                }
                return jobId;
            });
    }

    /**
     * Retrieves the ETag (Entity Tag) for an object stored in an Amazon S3 bucket.
     *
     * @param bucketName the name of the Amazon S3 bucket where the object is stored
     * @param key the key (file name) of the object in the Amazon S3 bucket
     * @return the ETag of the object
     */
    public String getETag(String bucketName, String key) {
        S3Client s3Client = S3Client.builder()
            .region(Region.US_EAST_1)
            .build();

        HeadObjectRequest headObjectRequest = HeadObjectRequest.builder()
            .bucket(bucketName)
            .key(key)
            .build();

        HeadObjectResponse headObjectResponse = s3Client.headObject(headObjectRequest);
        return headObjectResponse.eTag();
    }

    /**
     * Asynchronously adds tags to a job in the system.
     *
     * @param jobId     the ID of the job to add tags to
     * @param accountId the account ID associated with the job
     * @return a CompletableFuture that completes when the tagging operation is finished
     */
    public CompletableFuture<Void> putJobTaggingAsync(String jobId, String accountId) {
        S3Tag departmentTag = S3Tag.builder()
            .key("department")
            .value("Marketing")
            .build();

        S3Tag fiscalYearTag = S3Tag.builder()
            .key("FiscalYear")
            .value("2020")
            .build();

        PutJobTaggingRequest putJobTaggingRequest = PutJobTaggingRequest.builder()
            .jobId(jobId)
            .accountId(accountId)
            .tags(departmentTag, fiscalYearTag)
            .build();

        return asyncClient.putJobTagging(putJobTaggingRequest)
            .thenRun(() -> {
                System.out.println("Additional Tags were added to job " + jobId);
            })
            .exceptionally(ex -> {
                System.err.println("Failed to add tags to job: " + ex.getMessage());
                throw new RuntimeException(ex); // Propagate the exception
            });
    }

    // Setup the S3 bucket required for this scenario.
    /**
     * Creates an Amazon S3 bucket with the specified name.
     *
     * @param bucketName the name of the S3 bucket to create
     * @throws S3Exception if there is an error creating the bucket
     */
    public void createBucket(String bucketName) {
        try {
            S3Client s3Client = S3Client.builder()
                .region(Region.US_EAST_1)
                .build();


            S3Waiter s3Waiter = s3Client.waiter();
            CreateBucketRequest bucketRequest = CreateBucketRequest.builder()
                .bucket(bucketName)
                .build();

            s3Client.createBucket(bucketRequest);
            HeadBucketRequest bucketRequestWait = HeadBucketRequest.builder()
                .bucket(bucketName)
                .build();

            // Wait until the bucket is created and print out the response.
            WaiterResponse<HeadBucketResponse> waiterResponse = s3Waiter.waitUntilBucketExists(bucketRequestWait);
            waiterResponse.matched().response().ifPresent(System.out::println);
            System.out.println(bucketName + " is ready");

        } catch (S3Exception e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }

    /**
     * Uploads a file to an Amazon S3 bucket asynchronously.
     *
     * @param bucketName the name of the S3 bucket to upload the file to
     * @param fileName the name of the file to be uploaded
     * @throws RuntimeException if an error occurs during the file upload
     */
    public void populateBucket(String bucketName, String fileName) {
        // Define the path to the directory.
        Path filePath = Paths.get("src/main/resources/batch/", fileName).toAbsolutePath();
        PutObjectRequest putOb = PutObjectRequest.builder()
            .bucket(bucketName)
            .key(fileName)
            .build();

        CompletableFuture<PutObjectResponse> future = getS3AsyncClient().putObject(putOb, AsyncRequestBody.fromFile(filePath));
        future.whenComplete((result, ex) -> {
            if (ex != null) {
                System.err.println("Error uploading file: " + ex.getMessage());
            } else {
                System.out.println("Successfully placed " + fileName + " into bucket " + bucketName);
            }
        }).join();
    }


    // Update the bucketName in CSV.
    public void updateCSV(String newValue) {
        Path csvFilePath = Paths.get("src/main/resources/batch/job-manifest.csv").toAbsolutePath();
        try {
            // Read all lines from the CSV file.
            List<String> lines = Files.readAllLines(csvFilePath);

            // Update the first value in each line.
            List<String> updatedLines = lines.stream()
                .map(line -> {
                    String[] parts = line.split(",");
                    parts[0] = newValue;
                    return String.join(",", parts);
                })
                .collect(Collectors.toList());

            // Write the updated lines back to the CSV file
            Files.write(csvFilePath, updatedLines);
            System.out.println("CSV file updated successfully.");
        } catch (Exception e) {
            e.printStackTrace();
        }
    }

    /**
     * Deletes an object from an Amazon S3 bucket asynchronously.
     *
     * @param bucketName The name of the S3 bucket where the object is stored.
     * @param objectName The name of the object to be deleted.
     * @return A {@link CompletableFuture} that completes when the object has been deleted,
     *         or throws a {@link RuntimeException} if an error occurs during the deletion.
     */
    public CompletableFuture<Void> deleteBucketObjects(String bucketName, String objectName) {
        ArrayList<ObjectIdentifier> toDelete = new ArrayList<>();
        toDelete.add(ObjectIdentifier.builder()
            .key(objectName)
            .build());

        DeleteObjectsRequest dor = DeleteObjectsRequest.builder()
            .bucket(bucketName)
            .delete(Delete.builder()
                .objects(toDelete).build())
            .build();

        return getS3AsyncClient().deleteObjects(dor)
            .thenAccept(result -> {
                System.out.println("The object was deleted!");
            })
            .exceptionally(ex -> {
                throw new RuntimeException("Error deleting object: " + ex.getMessage(), ex);
            });
    }

    /**
     * Deletes a folder and all its contents asynchronously from an Amazon S3 bucket.
     *
     * @param bucketName the name of the S3 bucket containing the folder to be deleted
     * @return a {@link CompletableFuture} that completes when the folder and its contents have been deleted
     * @throws RuntimeException if any error occurs during the deletion process
     */
    public void deleteBucketFolderAsync(String bucketName) {
        String folderName = "reports/";
        ListObjectsV2Request request = ListObjectsV2Request.builder()
            .bucket(bucketName)
            .prefix(folderName)
            .build();

        CompletableFuture<ListObjectsV2Response> listObjectsFuture = getS3AsyncClient().listObjectsV2(request);
        listObjectsFuture.thenCompose(response -> {
            List<CompletableFuture<DeleteObjectResponse>> deleteFutures = response.contents().stream()
                .map(obj -> {
                    DeleteObjectRequest deleteRequest = DeleteObjectRequest.builder()
                        .bucket(bucketName)
                        .key(obj.key())
                        .build();
                    return getS3AsyncClient().deleteObject(deleteRequest)
                        .thenApply(deleteResponse -> {
                            System.out.println("Deleted object: " + obj.key());
                            return deleteResponse;
                        });
                })
                .collect(Collectors.toList());

            return CompletableFuture.allOf(deleteFutures.toArray(new CompletableFuture[0]))
                .thenCompose(v -> {
                    // Delete the folder.
                    DeleteObjectRequest deleteRequest = DeleteObjectRequest.builder()
                        .bucket(bucketName)
                        .key(folderName)
                        .build();
                    return getS3AsyncClient().deleteObject(deleteRequest)
                        .thenApply(deleteResponse -> {
                            System.out.println("Deleted folder: " + folderName);
                            return deleteResponse;
                        });
                });
        }).join();
    }

    /**
     * Deletes an Amazon S3 bucket.
     *
     * @param bucketName the name of the bucket to delete
     * @return a {@link CompletableFuture} that completes when the bucket has been deleted, or exceptionally if there is an error
     * @throws RuntimeException if there is an error deleting the bucket
     */
    public CompletableFuture<Void> deleteBucket(String bucketName) {
        S3AsyncClient s3Client = getS3AsyncClient();
        return s3Client.deleteBucket(DeleteBucketRequest.builder()
                .bucket(bucketName)
                .build())
            .thenAccept(deleteBucketResponse -> {
                System.out.println(bucketName + " was deleted");
            })
            .exceptionally(ex -> {
                // Handle the exception or rethrow it.
                throw new RuntimeException("Failed to delete bucket: " + bucketName, ex);
            });
    }

    /**
     * Uploads a set of files to an Amazon S3 bucket.
     *
     * @param bucketName the name of the S3 bucket to upload the files to
     * @param fileNames an array of file names to be uploaded
     * @param actions an instance of {@link S3BatchActions} that provides the implementation for the necessary S3 operations
     * @throws IOException if there's an error creating the text files or uploading the files to the S3 bucket
     */
    public static void uploadFilesToBucket(String bucketName, String[] fileNames, S3BatchActions actions) throws IOException {
        actions.updateCSV(bucketName);
        createTextFiles(fileNames);
        for (String fileName : fileNames) {
            actions.populateBucket(bucketName, fileName);
        }
        System.out.println("All files are placed in the S3 bucket " + bucketName);
    }

    /**
     * Deletes the specified files from the given S3 bucket.
     *
     * @param bucketName the name of the S3 bucket
     * @param fileNames an array of file names to be deleted from the bucket
     * @param actions the S3BatchActions instance to be used for the file deletion
     * @throws IOException if an I/O error occurs during the file deletion
     */
    public void deleteFilesFromBucket(String bucketName, String[] fileNames, S3BatchActions actions) throws IOException {
        for (String fileName : fileNames) {
                   actions.deleteBucketObjects(bucketName, fileName)
                  .thenRun(() -> System.out.println("Object deletion completed"))
                  .exceptionally(ex -> {
                      System.err.println("Error occurred: " + ex.getMessage());
                      return null;
                  });
        }
        System.out.println("All files have been deleted from the bucket " + bucketName);
    }

    public static void createTextFiles(String[] fileNames) {
        String currentDirectory = System.getProperty("user.dir");
        String directoryPath = currentDirectory + "\\src\\main\\resources\\batch";
        Path path = Paths.get(directoryPath);

        try {
            // Create the directory if it doesn't exist.
            if (Files.notExists(path)) {
                Files.createDirectories(path);
                System.out.println("Created directory: " + path.toString());
            } else {
                System.out.println("Directory already exists: " + path.toString());
            }

            for (String fileName : fileNames) {
                // Check if the file is a .txt file.
                if (fileName.endsWith(".txt")) {
                    // Define the path for the new file.
                    Path filePath = path.resolve(fileName);
                    System.out.println("Attempting to create file: " + filePath.toString());

                    // Create and write content to the new file.
                    Files.write(filePath, "This is a test".getBytes());

                    // Verify the file was created.
                    if (Files.exists(filePath)) {
                        System.out.println("Successfully created file: " + filePath.toString());
                    } else {
                        System.out.println("Failed to create file: " + filePath.toString());
                    }
                }
            }

        } catch (IOException e) {
            System.err.println("An error occurred: " + e.getMessage());
            e.printStackTrace();
        }
    }

    public String getAccountId() {
        StsClient stsClient = StsClient.builder()
            .region(Region.US_EAST_1)
            .build();

        GetCallerIdentityResponse callerIdentityResponse = stsClient.getCallerIdentity();
        return callerIdentityResponse.account();
    }
}
```
+ 有关 API 详细信息，请参阅《AWS SDK for Java 2.x API Reference》**中的以下主题。
  + [CreateJob](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/CreateJob)
  + [DeleteJobTagging](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/DeleteJobTagging)
  + [DescribeJob](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/DescribeJob)
  + [GetJobTagging](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/GetJobTagging)
  + [ListJobs](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/ListJobs)
  + [PutJobTagging](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/PutJobTagging)
  + [UpdateJobPriority](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/UpdateJobPriority)
  + [UpdateJobStatus](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/UpdateJobStatus)

------
#### [ Python ]

**适用于 Python 的 SDK（Boto3）**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/s3/scenarios/batch#code-examples)中查找完整示例，了解如何进行设置和运行。
学习 S3 Batch 基础场景。  

```
class S3BatchWrapper:
    """Wrapper class for managing S3 Batch Operations."""

    def __init__(self, s3_client: Any, s3control_client: Any, sts_client: Any) -> None:
        """
        Initializes the S3BatchWrapper with AWS service clients.
        
        :param s3_client: A Boto3 Amazon S3 client. This client provides low-level
                         access to AWS S3 services.
        :param s3control_client: A Boto3 Amazon S3 Control client. This client provides
                               low-level access to AWS S3 Control services.
        :param sts_client: A Boto3 AWS STS client. This client provides low-level
                          access to AWS STS services.
        """
        self.s3_client = s3_client
        self.s3control_client = s3control_client
        self.sts_client = sts_client
        # Get region from the client for bucket creation logic
        self.region_name = self.s3_client.meta.region_name

    def get_account_id(self) -> str:
        """
        Get AWS account ID.

        Returns:
            str: AWS account ID
        """
        return self.sts_client.get_caller_identity()["Account"]

    def create_bucket(self, bucket_name: str) -> None:
        """
        Create an S3 bucket.

        Args:
            bucket_name (str): Name of the bucket to create

        Raises:
            ClientError: If bucket creation fails
        """
        try:
            if self.region_name and self.region_name != 'us-east-1':
                self.s3_client.create_bucket(
                    Bucket=bucket_name,
                    CreateBucketConfiguration={
                        'LocationConstraint': self.region_name
                    }
                )
            else:
                self.s3_client.create_bucket(Bucket=bucket_name)
            print(f"Created bucket: {bucket_name}")
        except ClientError as e:
            print(f"Error creating bucket: {e}")
            raise

    def upload_files_to_bucket(self, bucket_name: str, file_names: List[str]) -> str:
        """
        Upload files to S3 bucket including manifest file.

        Args:
            bucket_name (str): Target bucket name
            file_names (list): List of file names to upload

        Returns:
            str: ETag of the manifest file

        Raises:
            ClientError: If file upload fails
        """
        try:
            for file_name in file_names:
                if file_name != "job-manifest.csv":
                    content = f"Content for {file_name}"
                    self.s3_client.put_object(
                        Bucket=bucket_name,
                        Key=file_name,
                        Body=content.encode('utf-8')
                    )
                    print(f"Uploaded {file_name} to {bucket_name}")

            manifest_content = ""
            for file_name in file_names:
                if file_name != "job-manifest.csv":
                    manifest_content += f"{bucket_name},{file_name}\n"

            manifest_response = self.s3_client.put_object(
                Bucket=bucket_name,
                Key="job-manifest.csv",
                Body=manifest_content.encode('utf-8')
            )
            print(f"Uploaded manifest file to {bucket_name}")
            print(f"Manifest content:\n{manifest_content}")
            return manifest_response['ETag'].strip('"')

        except ClientError as e:
            print(f"Error uploading files: {e}")
            raise

    def create_s3_batch_job(self, account_id: str, role_arn: str, manifest_location: str,
                           report_bucket_name: str) -> str:
        """
        Create an S3 batch operation job.

        Args:
            account_id (str): AWS account ID
            role_arn (str): IAM role ARN for batch operations
            manifest_location (str): Location of the manifest file
            report_bucket_name (str): Bucket for job reports

        Returns:
            str: Job ID

        Raises:
            ClientError: If job creation fails
        """
        try:
            bucket_name = manifest_location.split(':::')[1].split('/')[0]
            manifest_key = 'job-manifest.csv'
            manifest_obj = self.s3_client.head_object(
                Bucket=bucket_name,
                Key=manifest_key
            )
            etag = manifest_obj['ETag'].strip('"')
            
            response = self.s3control_client.create_job(
                AccountId=account_id,
                Operation={
                    'S3PutObjectTagging': {
                        'TagSet': [
                            {
                                'Key': 'BatchTag',
                                'Value': 'BatchValue'
                            },
                        ]
                    }
                },
                Report={
                    'Bucket': report_bucket_name,
                    'Format': 'Report_CSV_20180820',
                    'Enabled': True,
                    'Prefix': 'batch-op-reports',
                    'ReportScope': 'AllTasks'
                },
                Manifest={
                    'Spec': {
                        'Format': 'S3BatchOperations_CSV_20180820',
                        'Fields': ['Bucket', 'Key']
                    },
                    'Location': {
                        'ObjectArn': manifest_location,
                        'ETag': etag
                    }
                },
                Priority=10,
                RoleArn=role_arn,
                Description='Batch job for tagging objects',
                ConfirmationRequired=True
            )
            job_id = response['JobId']
            print(f"The Job id is {job_id}")
            return job_id
        except ClientError as e:
            print(f"Error creating batch job: {e}")
            if 'Message' in str(e):
                print(f"Detailed error message: {e.response['Message']}")
            raise

    def check_job_failure_reasons(self, job_id: str, account_id: str) -> List[Dict[str, Any]]:
        """
        Check for any failure reasons of a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID

        Returns:
            list: List of failure reasons

        Raises:
            ClientError: If checking job failure reasons fails
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            if 'FailureReasons' in response['Job']:
                for reason in response['Job']['FailureReasons']:
                    print(f"- {reason}")
            return response['Job'].get('FailureReasons', [])
        except ClientError as e:
            print(f"Error checking job failure reasons: {e}")
            raise

    def wait_for_job_ready(self, job_id: str, account_id: str, desired_status: str = 'Ready') -> bool:
        """
        Wait for a job to reach the desired status.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
            desired_status (str): Target status to wait for

        Returns:
            bool: True if desired status is reached, False otherwise

        Raises:
            ClientError: If checking job status fails
        """
        print(f"Waiting for job to become {desired_status}...")
        max_attempts = 60
        attempt = 0
        while attempt < max_attempts:
            try:
                response = self.s3control_client.describe_job(
                    AccountId=account_id,
                    JobId=job_id
                )
                current_status = response['Job']['Status']
                print(f"Current job status: {current_status}")
                if current_status == desired_status:
                    return True
                if current_status == 'Suspended':
                    print("Job is in Suspended state, can proceed with activation")
                    return True
                if current_status in ['Active', 'Failed', 'Cancelled', 'Complete']:
                    print(f"Job is in {current_status} state, cannot reach {desired_status} status")
                    if 'FailureReasons' in response['Job']:
                        print("Failure reasons:")
                        for reason in response['Job']['FailureReasons']:
                            print(f"- {reason}")
                    return False

                time.sleep(20)
                attempt += 1
            except ClientError as e:
                print(f"Error checking job status: {e}")
                raise
        print(f"Timeout waiting for job to become {desired_status}")
        return False

    def update_job_priority(self, job_id: str, account_id: str) -> None:
        """
        Update the priority of a batch job and start it.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            current_status = response['Job']['Status']
            print(f"Current job status: {current_status}")
            
            if current_status in ['Ready', 'Suspended']:
                self.s3control_client.update_job_priority(
                    AccountId=account_id,
                    JobId=job_id,
                    Priority=60
                )
                print("The job priority was updated")
                
                try:
                    self.s3control_client.update_job_status(
                        AccountId=account_id,
                        JobId=job_id,
                        RequestedJobStatus='Ready'
                    )
                    print("Job activated successfully")
                except ClientError as activation_error:
                    print(f"Note: Could not activate job automatically: {activation_error}")
                    print("Job priority was updated successfully. Job may need manual activation in the console.")
            elif current_status in ['Active', 'Completing', 'Complete']:
                print(f"Job is in '{current_status}' state - priority cannot be updated")
                if current_status == 'Completing':
                    print("Job is finishing up and will complete soon.")
                elif current_status == 'Complete':
                    print("Job has already completed successfully.")
                else:
                    print("Job is currently running.")
            else:
                print(f"Job is in '{current_status}' state - priority update not allowed")
                
        except ClientError as e:
            print(f"Error updating job priority: {e}")
            print("Continuing with the scenario...")
            return

    def cancel_job(self, job_id: str, account_id: str) -> None:
        """
        Cancel an S3 batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            current_status = response['Job']['Status']
            print(f"Current job status: {current_status}")

            if current_status in ['Ready', 'Suspended', 'Active']:
                self.s3control_client.update_job_status(
                    AccountId=account_id,
                    JobId=job_id,
                    RequestedJobStatus='Cancelled'
                )
                print(f"Job {job_id} was successfully canceled.")
            elif current_status in ['Completing', 'Complete']:
                print(f"Job is in '{current_status}' state - cannot be cancelled")
                if current_status == 'Completing':
                    print("Job is finishing up and will complete soon.")
                elif current_status == 'Complete':
                    print("Job has already completed successfully.")
            else:
                print(f"Job is in '{current_status}' state - cancel not allowed")
        except ClientError as e:
            print(f"Error canceling job: {e}")
            raise

    def describe_job_details(self, job_id: str, account_id: str) -> None:
        """
        Describe detailed information about a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            job = response['Job']
            print(f"Job ID: {job['JobId']}")
            print(f"Description: {job.get('Description', 'N/A')}")
            print(f"Status: {job['Status']}")
            print(f"Role ARN: {job['RoleArn']}")
            print(f"Priority: {job['Priority']}")
            if 'ProgressSummary' in job:
                progress = job['ProgressSummary']
                print(f"Progress Summary: Total={progress.get('TotalNumberOfTasks', 0)}, "
                      f"Succeeded={progress.get('NumberOfTasksSucceeded', 0)}, "
                      f"Failed={progress.get('NumberOfTasksFailed', 0)}")
        except ClientError as e:
            print(f"Error describing job: {e}")
            raise
    
    def get_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Get tags associated with a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.get_job_tagging(
                AccountId=account_id,
                JobId=job_id
            )
            tags = response.get('Tags', [])
            if tags:
                print(f"Tags for job {job_id}:")
                for tag in tags:
                    print(f"  {tag['Key']}: {tag['Value']}")
            else:
                print(f"No tags found for job ID: {job_id}")
        except ClientError as e:
            print(f"Error getting job tags: {e}")
            raise
    
    def put_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Add tags to a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            self.s3control_client.put_job_tagging(
                AccountId=account_id,
                JobId=job_id,
                Tags=[
                    {'Key': 'Environment', 'Value': 'Development'},
                    {'Key': 'Team', 'Value': 'DataProcessing'}
                ]
            )
            print(f"Additional tags were added to job {job_id}")
        except ClientError as e:
            print(f"Error adding job tags: {e}")
            raise
    
    def list_jobs(self, account_id: str) -> None:
        """
        List all batch jobs for the account.

        Args:
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.list_jobs(
                AccountId=account_id,
                JobStatuses=['Active', 'Complete', 'Cancelled', 'Failed', 'New', 'Paused', 'Pausing', 'Preparing', 'Ready', 'Suspended']
            )
            jobs = response.get('Jobs', [])
            for job in jobs:
                print(f"The job id is {job['JobId']}")
                print(f"The job priority is {job['Priority']}")
        except ClientError as e:
            print(f"Error listing jobs: {e}")
            raise
    
    def delete_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Delete all tags from a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            self.s3control_client.delete_job_tagging(
                AccountId=account_id,
                JobId=job_id
            )
            print(f"You have successfully deleted {job_id} tagging.")
        except ClientError as e:
            print(f"Error deleting job tags: {e}")
            raise

    def cleanup_resources(self, bucket_name: str, file_names: List[str]) -> None:
        """
        Clean up all resources created during the scenario.

        Args:
            bucket_name (str): Name of the bucket to clean up
            file_names (list): List of files to delete

        Raises:
            ClientError: If cleanup fails
        """
        try:
            for file_name in file_names:
                self.s3_client.delete_object(Bucket=bucket_name, Key=file_name)
                print(f"Deleted {file_name}")

            response = self.s3_client.list_objects_v2(
                Bucket=bucket_name,
                Prefix='batch-op-reports/'
            )
            if 'Contents' in response:
                for obj in response['Contents']:
                    self.s3_client.delete_object(
                        Bucket=bucket_name,
                        Key=obj['Key']
                    )
                    print(f"Deleted {obj['Key']}")

            self.s3_client.delete_bucket(Bucket=bucket_name)
            print(f"Deleted bucket {bucket_name}")
        except ClientError as e:
            print(f"Error in cleanup: {e}")
            raise
```
+ 有关 API 详细信息，请参阅《AWS SDK for Python (Boto3) API Reference》**中的以下主题。
  + [CreateJob](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/CreateJob)
  + [DeleteJobTagging](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/DeleteJobTagging)
  + [DescribeJob](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/DescribeJob)
  + [GetJobTagging](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/GetJobTagging)
  + [ListJobs](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/ListJobs)
  + [PutJobTagging](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/PutJobTagging)
  + [UpdateJobPriority](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/UpdateJobPriority)
  + [UpdateJobStatus](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/UpdateJobStatus)

------

# 使用 Amazon S3 控制的操作 AWS SDKs
<a name="s3-control_code_examples_actions"></a>

以下代码示例演示了如何使用执行单个 Amazon S3 控制操作 AWS SDKs。每个示例都包含一个指向的链接 GitHub，您可以在其中找到有关设置和运行代码的说明。

 以下示例仅包括最常用的操作。有关完整列表，请参阅《[Amazon S3 Control API Reference](https://docs.aws.amazon.com/AmazonS3/latest/API/Welcome.html)》。

**Topics**
+ [`CreateJob`](s3-control_example_s3-control_CreateJob_section.md)
+ [`DeleteJobTagging`](s3-control_example_s3-control_DeleteJobTagging_section.md)
+ [`DescribeJob`](s3-control_example_s3-control_DescribeJob_section.md)
+ [`GetJobTagging`](s3-control_example_s3-control_GetJobTagging_section.md)
+ [`PutJobTagging`](s3-control_example_s3-control_PutJobTagging_section.md)
+ [`UpdateJobPriority`](s3-control_example_s3-control_UpdateJobPriority_section.md)
+ [`UpdateJobStatus`](s3-control_example_s3-control_UpdateJobStatus_section.md)

# `CreateJob`与 AWS SDK 或 CLI 配合使用
<a name="s3-control_example_s3-control_CreateJob_section"></a>

以下代码示例演示如何使用 `CreateJob`。

操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+  [了解基本功能](s3-control_example_s3-control_Basics_section.md) 

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

**AWS CLI**  
**创建 Amazon S3 批量操作任务**  
以下 `create-job` 示例创建一个 Amazon S3 批量操作任务，将对象标记为 `confidential` in the bucket ``employee-records`。  

```
aws s3control create-job \
    --account-id 123456789012 \
    --operation '{"S3PutObjectTagging": { "TagSet": [{"Key":"confidential", "Value":"true"}] }}' \
    --report '{"Bucket":"arn:aws:s3:::employee-records-logs","Prefix":"batch-op-create-job", "Format":"Report_CSV_20180820","Enabled":true,"ReportScope":"AllTasks"}' \
    --manifest '{"Spec":{"Format":"S3BatchOperations_CSV_20180820","Fields":["Bucket","Key"]},"Location":{"ObjectArn":"arn:aws:s3:::employee-records-logs/inv-report/7a6a9be4-072c-407e-85a2-ec3e982f773e.csv","ETag":"69f52a4e9f797e987155d9c8f5880897"}}' \
    --priority 42 \
    --role-arn arn:aws:iam::123456789012:role/S3BatchJobRole
```
输出：  

```
{
    "JobId": "93735294-df46-44d5-8638-6356f335324e"
}
```
+  有关 API 的详细信息，请参阅*AWS CLI 命令参考[CreateJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3control/create-job.html)*中的。

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

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/s3/src/main/java/com/example/s3/batch#code-examples)中查找完整示例，了解如何进行设置和运行。
创建异步 S3 作业。  

```
    /**
     * Creates an asynchronous S3 job using the AWS Java SDK.
     *
     * @param accountId         the AWS account ID associated with the job
     * @param iamRoleArn        the ARN of the IAM role to be used for the job
     * @param manifestLocation  the location of the job manifest file in S3
     * @param reportBucketName  the name of the S3 bucket to store the job report
     * @param uuid              a unique identifier for the job
     * @return a CompletableFuture that represents the asynchronous creation of the S3 job.
     *         The CompletableFuture will return the job ID if the job is created successfully,
     *         or throw an exception if there is an error.
     */
    public CompletableFuture<String> createS3JobAsync(String accountId, String iamRoleArn,
                                                      String manifestLocation, String reportBucketName, String uuid) {

        String[] bucketName = new String[]{""};
        String[] parts = reportBucketName.split(":::");
        if (parts.length > 1) {
            bucketName[0] = parts[1];
        } else {
            System.out.println("The input string does not contain the expected format.");
        }

        return CompletableFuture.supplyAsync(() -> getETag(bucketName[0], "job-manifest.csv"))
            .thenCompose(eTag -> {
                  ArrayList<S3Tag> tagSet = new ArrayList<>();
                S3Tag s3Tag = S3Tag.builder()
                    .key("keyOne")
                    .value("ValueOne")
                    .build();
                S3Tag s3Tag2 = S3Tag.builder()
                    .key("keyTwo")
                    .value("ValueTwo")
                    .build();
                tagSet.add(s3Tag);
                tagSet.add(s3Tag2);

                S3SetObjectTaggingOperation objectTaggingOperation = S3SetObjectTaggingOperation.builder()
                    .tagSet(tagSet)
                    .build();

                JobOperation jobOperation = JobOperation.builder()
                    .s3PutObjectTagging(objectTaggingOperation)
                    .build();

                JobManifestLocation jobManifestLocation = JobManifestLocation.builder()
                    .objectArn(manifestLocation)
                    .eTag(eTag)
                    .build();

                JobManifestSpec manifestSpec = JobManifestSpec.builder()
                    .fieldsWithStrings("Bucket", "Key")
                    .format("S3BatchOperations_CSV_20180820")
                    .build();

                JobManifest jobManifest = JobManifest.builder()
                    .spec(manifestSpec)
                    .location(jobManifestLocation)
                    .build();

                JobReport jobReport = JobReport.builder()
                    .bucket(reportBucketName)
                    .prefix("reports")
                    .format("Report_CSV_20180820")
                    .enabled(true)
                    .reportScope("AllTasks")
                    .build();

                CreateJobRequest jobRequest = CreateJobRequest.builder()
                    .accountId(accountId)
                    .description("Job created using the AWS Java SDK")
                    .manifest(jobManifest)
                    .operation(jobOperation)
                    .report(jobReport)
                    .priority(42)
                    .roleArn(iamRoleArn)
                    .clientRequestToken(uuid)
                    .confirmationRequired(false)
                    .build();

                // Create the job asynchronously.
                 return getAsyncClient().createJob(jobRequest)
                    .thenApply(CreateJobResponse::jobId);
                 })
                 .handle((jobId, ex) -> {
                    if (ex != null) {
                    Throwable cause = (ex instanceof CompletionException) ? ex.getCause() : ex;
                    if (cause instanceof S3ControlException) {
                        throw new CompletionException(cause);
                    } else {
                        throw new RuntimeException(cause);
                    }
                }
                return jobId;
            });
    }
```
创建合规性保留作业。  

```
    /**
     * Creates a compliance retention job in Amazon S3 Control.
     * <p>
     * A compliance retention job in Amazon S3 Control is a feature that allows you to
     * set a retention period for objects stored in an S3 bucket.
     * This feature is particularly useful for organizations that need to comply with
     * regulatory requirements or internal policies that mandate the retention of data for
     * a specific duration.
     *
     * @param s3ControlClient The S3ControlClient instance to use for the API call.
     * @return The job ID of the created compliance retention job.
     */
    public static String createComplianceRetentionJob(final S3ControlClient s3ControlClient, String roleArn, String bucketName, String accountId) {
        final String manifestObjectArn = "arn:aws:s3:::amzn-s3-demo-manifest-bucket/compliance-objects-manifest.csv";
        final String manifestObjectVersionId = "your-object-version-Id";

        Instant jan2025 = Instant.parse("2025-01-01T00:00:00Z");
        JobOperation jobOperation = JobOperation.builder()
            .s3PutObjectRetention(S3SetObjectRetentionOperation.builder()
                .retention(S3Retention.builder()
                    .mode(S3ObjectLockRetentionMode.COMPLIANCE)
                    .retainUntilDate(jan2025)
                    .build())
                .build())
            .build();

        JobManifestLocation manifestLocation = JobManifestLocation.builder()
            .objectArn(manifestObjectArn)
            .eTag(manifestObjectVersionId)
            .build();

        JobManifestSpec manifestSpec = JobManifestSpec.builder()
            .fieldsWithStrings("Bucket", "Key")
            .format("S3BatchOperations_CSV_20180820")
            .build();

        JobManifest manifestToPublicApi = JobManifest.builder()
            .location(manifestLocation)
            .spec(manifestSpec)
            .build();

        // Report details.
        final String jobReportBucketArn = "arn:aws:s3:::" + bucketName;
        final String jobReportPrefix = "reports/compliance-objects-bops";

        JobReport jobReport = JobReport.builder()
            .enabled(true)
            .reportScope(JobReportScope.ALL_TASKS)
            .bucket(jobReportBucketArn)
            .prefix(jobReportPrefix)
            .format(JobReportFormat.REPORT_CSV_20180820)
            .build();

        final Boolean requiresConfirmation = true;
        final int priority = 10;
        CreateJobRequest request = CreateJobRequest.builder()
            .accountId(accountId)
            .description("Set compliance retain-until to 1 Jan 2025")
            .manifest(manifestToPublicApi)
            .operation(jobOperation)
            .priority(priority)
            .roleArn(roleArn)
            .report(jobReport)
            .confirmationRequired(requiresConfirmation)
            .build();

        // Create the job and get the result.
        CreateJobResponse result = s3ControlClient.createJob(request);
        return result.jobId();
    }
```
创建法定保留作业。  

```
    /**
     * Creates a compliance retention job in Amazon S3 Control.
     * <p>
     * A compliance retention job in Amazon S3 Control is a feature that allows you to
     * set a retention period for objects stored in an S3 bucket.
     * This feature is particularly useful for organizations that need to comply with
     * regulatory requirements or internal policies that mandate the retention of data for
     * a specific duration.
     *
     * @param s3ControlClient The S3ControlClient instance to use for the API call.
     * @return The job ID of the created compliance retention job.
     */
    public static String createComplianceRetentionJob(final S3ControlClient s3ControlClient, String roleArn, String bucketName, String accountId) {
        final String manifestObjectArn = "arn:aws:s3:::amzn-s3-demo-manifest-bucket/compliance-objects-manifest.csv";
        final String manifestObjectVersionId = "your-object-version-Id";

        Instant jan2025 = Instant.parse("2025-01-01T00:00:00Z");
        JobOperation jobOperation = JobOperation.builder()
            .s3PutObjectRetention(S3SetObjectRetentionOperation.builder()
                .retention(S3Retention.builder()
                    .mode(S3ObjectLockRetentionMode.COMPLIANCE)
                    .retainUntilDate(jan2025)
                    .build())
                .build())
            .build();

        JobManifestLocation manifestLocation = JobManifestLocation.builder()
            .objectArn(manifestObjectArn)
            .eTag(manifestObjectVersionId)
            .build();

        JobManifestSpec manifestSpec = JobManifestSpec.builder()
            .fieldsWithStrings("Bucket", "Key")
            .format("S3BatchOperations_CSV_20180820")
            .build();

        JobManifest manifestToPublicApi = JobManifest.builder()
            .location(manifestLocation)
            .spec(manifestSpec)
            .build();

        // Report details.
        final String jobReportBucketArn = "arn:aws:s3:::" + bucketName;
        final String jobReportPrefix = "reports/compliance-objects-bops";

        JobReport jobReport = JobReport.builder()
            .enabled(true)
            .reportScope(JobReportScope.ALL_TASKS)
            .bucket(jobReportBucketArn)
            .prefix(jobReportPrefix)
            .format(JobReportFormat.REPORT_CSV_20180820)
            .build();

        final Boolean requiresConfirmation = true;
        final int priority = 10;
        CreateJobRequest request = CreateJobRequest.builder()
            .accountId(accountId)
            .description("Set compliance retain-until to 1 Jan 2025")
            .manifest(manifestToPublicApi)
            .operation(jobOperation)
            .priority(priority)
            .roleArn(roleArn)
            .report(jobReport)
            .confirmationRequired(requiresConfirmation)
            .build();

        // Create the job and get the result.
        CreateJobResponse result = s3ControlClient.createJob(request);
        return result.jobId();
    }
```
创建新的治理保留作业。  

```
/**
 * 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
 */
public class CreateGovernanceRetentionJob {

    public static void main(String[]args) throws ParseException {
        final String usage = """

            Usage:
                <manifestObjectArn> <jobReportBucketArn> <roleArn> <accountId> <manifestObjectVersionId>

            Where:
                manifestObjectArn - The Amazon Resource Name (ARN) of the S3 object that contains the manifest file for the governance objects.\s
                bucketName - The ARN of the S3 bucket where the job report will be stored.
                roleArn - The ARN of the IAM role that will be used to perform the governance retention operation.
                accountId - Your AWS account Id.
                manifestObjectVersionId =  A unique value that is used as the `eTag` property of the `JobManifestLocation` object.
            """;

        if (args.length != 4) {
            System.out.println(usage);
            return;
        }

        String manifestObjectArn = args[0];
        String jobReportBucketArn = args[1];
        String roleArn = args[2];
        String accountId = args[3];
        String manifestObjectVersionId = args[4];

        S3ControlClient s3ControlClient = S3ControlClient.create();
        createGovernanceRetentionJob(s3ControlClient, manifestObjectArn, jobReportBucketArn, roleArn, accountId, manifestObjectVersionId);
    }

    public static String createGovernanceRetentionJob(final S3ControlClient s3ControlClient, String manifestObjectArn, String jobReportBucketArn, String roleArn, String accountId, String manifestObjectVersionId) throws ParseException {
        final JobManifestLocation manifestLocation = JobManifestLocation.builder()
            .objectArn(manifestObjectArn)
            .eTag(manifestObjectVersionId)
            .build();

        final JobManifestSpec manifestSpec = JobManifestSpec.builder()
            .format(JobManifestFormat.S3_BATCH_OPERATIONS_CSV_20180820)
            .fields(Arrays.asList(JobManifestFieldName.BUCKET, JobManifestFieldName.KEY))
            .build();

        final JobManifest manifestToPublicApi = JobManifest.builder()
            .location(manifestLocation)
            .spec(manifestSpec)
            .build();

        final String jobReportPrefix = "reports/governance-objects";
        final JobReport jobReport = JobReport.builder()
            .enabled(true)
            .reportScope(JobReportScope.ALL_TASKS)
            .bucket(jobReportBucketArn)
            .prefix(jobReportPrefix)
            .format(JobReportFormat.REPORT_CSV_20180820)
            .build();

        final SimpleDateFormat format = new SimpleDateFormat("dd/MM/yyyy");
        final Date jan30th = format.parse("30/01/2025");

        final S3SetObjectRetentionOperation s3SetObjectRetentionOperation = S3SetObjectRetentionOperation.builder()
            .retention(S3Retention.builder()
                .mode(S3ObjectLockRetentionMode.GOVERNANCE)
                .retainUntilDate(jan30th.toInstant())
                .build())
            .build();

        final JobOperation jobOperation = JobOperation.builder()
            .s3PutObjectRetention(s3SetObjectRetentionOperation)
            .build();

        final Boolean requiresConfirmation = true;
        final int priority = 10;

        final CreateJobRequest request = CreateJobRequest.builder()
            .accountId(accountId)
            .description("Put governance retention")
            .manifest(manifestToPublicApi)
            .operation(jobOperation)
            .priority(priority)
            .roleArn(roleArn)
            .report(jobReport)
            .confirmationRequired(requiresConfirmation)
            .build();

        final CreateJobResponse result = s3ControlClient.createJob(request);
        return result.jobId();
    }
}
```
+  有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[CreateJob](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/CreateJob)*中的。

------
#### [ Python ]

**适用于 Python 的 SDK（Boto3）**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/s3/scenarios/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    def create_s3_batch_job(self, account_id: str, role_arn: str, manifest_location: str,
                           report_bucket_name: str) -> str:
        """
        Create an S3 batch operation job.

        Args:
            account_id (str): AWS account ID
            role_arn (str): IAM role ARN for batch operations
            manifest_location (str): Location of the manifest file
            report_bucket_name (str): Bucket for job reports

        Returns:
            str: Job ID

        Raises:
            ClientError: If job creation fails
        """
        try:
            bucket_name = manifest_location.split(':::')[1].split('/')[0]
            manifest_key = 'job-manifest.csv'
            manifest_obj = self.s3_client.head_object(
                Bucket=bucket_name,
                Key=manifest_key
            )
            etag = manifest_obj['ETag'].strip('"')
            
            response = self.s3control_client.create_job(
                AccountId=account_id,
                Operation={
                    'S3PutObjectTagging': {
                        'TagSet': [
                            {
                                'Key': 'BatchTag',
                                'Value': 'BatchValue'
                            },
                        ]
                    }
                },
                Report={
                    'Bucket': report_bucket_name,
                    'Format': 'Report_CSV_20180820',
                    'Enabled': True,
                    'Prefix': 'batch-op-reports',
                    'ReportScope': 'AllTasks'
                },
                Manifest={
                    'Spec': {
                        'Format': 'S3BatchOperations_CSV_20180820',
                        'Fields': ['Bucket', 'Key']
                    },
                    'Location': {
                        'ObjectArn': manifest_location,
                        'ETag': etag
                    }
                },
                Priority=10,
                RoleArn=role_arn,
                Description='Batch job for tagging objects',
                ConfirmationRequired=True
            )
            job_id = response['JobId']
            print(f"The Job id is {job_id}")
            return job_id
        except ClientError as e:
            print(f"Error creating batch job: {e}")
            if 'Message' in str(e):
                print(f"Detailed error message: {e.response['Message']}")
            raise
```
+  有关 API 的详细信息，请参阅适用[CreateJob](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/CreateJob)于 *Python 的AWS SDK (Boto3) API 参考*。

------

# `DeleteJobTagging`与 AWS SDK 一起使用
<a name="s3-control_example_s3-control_DeleteJobTagging_section"></a>

以下代码示例演示如何使用 `DeleteJobTagging`。

操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+  [了解基本功能](s3-control_example_s3-control_Basics_section.md) 

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

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/s3/src/main/java/com/example/s3/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    /**
     * Asynchronously deletes the tags associated with a specific batch job.
     *
     * @param jobId     The ID of the batch job whose tags should be deleted.
     * @param accountId The ID of the account associated with the batch job.
     * @return A CompletableFuture that completes when the job tags have been successfully deleted, or an exception is thrown if the deletion fails.
     */
    public CompletableFuture<Void> deleteBatchJobTagsAsync(String jobId, String accountId) {
        DeleteJobTaggingRequest jobTaggingRequest = DeleteJobTaggingRequest.builder()
            .accountId(accountId)
            .jobId(jobId)
            .build();

        return asyncClient.deleteJobTagging(jobTaggingRequest)
            .thenAccept(response -> {
                System.out.println("You have successfully deleted " + jobId + " tagging.");
            })
            .exceptionally(ex -> {
                System.err.println("Failed to delete job tags: " + ex.getMessage());
                throw new RuntimeException(ex);
            });
    }
```
+  有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[DeleteJobTagging](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/DeleteJobTagging)*中的。

------
#### [ Python ]

**适用于 Python 的 SDK（Boto3）**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/s3/scenarios/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    def delete_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Delete all tags from a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            self.s3control_client.delete_job_tagging(
                AccountId=account_id,
                JobId=job_id
            )
            print(f"You have successfully deleted {job_id} tagging.")
        except ClientError as e:
            print(f"Error deleting job tags: {e}")
            raise
```
+  有关 API 的详细信息，请参阅适用[DeleteJobTagging](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/DeleteJobTagging)于 *Python 的AWS SDK (Boto3) API 参考*。

------

# `DescribeJob`与 AWS SDK 或 CLI 配合使用
<a name="s3-control_example_s3-control_DescribeJob_section"></a>

以下代码示例演示如何使用 `DescribeJob`。

操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+  [了解基本功能](s3-control_example_s3-control_Basics_section.md) 

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

**AWS CLI**  
**描述 Amazon S3 批量操作任务**  
以下 `describe-job` 命令可为指定的批量操作任务提供配置参数和状态。  

```
aws s3control describe-job \
    --account-id 123456789012 \
    --job-id 93735294-df46-44d5-8638-6356f335324e
```
输出：  

```
{
    "Job": {
        "TerminationDate": "2019-10-03T21:49:53.944Z",
        "JobId": "93735294-df46-44d5-8638-6356f335324e",
        "FailureReasons": [],
        "Manifest": {
            "Spec": {
                "Fields": [
                    "Bucket",
                    "Key"
                ],
                "Format": "S3BatchOperations_CSV_20180820"
            },
            "Location": {
                "ETag": "69f52a4e9f797e987155d9c8f5880897",
                "ObjectArn": "arn:aws:s3:::employee-records-logs/inv-report/7a6a9be4-072c-407e-85a2-ec3e982f773e.csv"
            }
        },
        "Operation": {
            "S3PutObjectTagging": {
                "TagSet": [
                    {
                        "Value": "true",
                        "Key": "confidential"
                    }
                ]
            }
        },
        "RoleArn": "arn:aws:iam::123456789012:role/S3BatchJobRole",
        "ProgressSummary": {
            "TotalNumberOfTasks": 8,
            "NumberOfTasksFailed": 0,
            "NumberOfTasksSucceeded": 8
        },
        "Priority": 42,
        "Report": {
            "ReportScope": "AllTasks",
            "Format": "Report_CSV_20180820",
            "Enabled": true,
            "Prefix": "batch-op-create-job",
            "Bucket": "arn:aws:s3:::employee-records-logs"
        },
        "JobArn": "arn:aws:s3:us-west-2:123456789012:job/93735294-df46-44d5-8638-6356f335324e",
        "CreationTime": "2019-10-03T21:48:48.048Z",
        "Status": "Complete"
    }
}
```
+  有关 API 的详细信息，请参阅*AWS CLI 命令参考[DescribeJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3control/describe-job.html)*中的。

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

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/s3/src/main/java/com/example/s3/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    /**
     * Asynchronously describes the specified job.
     *
     * @param jobId     the ID of the job to describe
     * @param accountId the ID of the AWS account associated with the job
     * @return a {@link CompletableFuture} that completes when the job description is available
     * @throws RuntimeException if an error occurs while describing the job
     */
    public CompletableFuture<Void> describeJobAsync(String jobId, String accountId) {
        DescribeJobRequest jobRequest = DescribeJobRequest.builder()
            .jobId(jobId)
            .accountId(accountId)
            .build();

        return getAsyncClient().describeJob(jobRequest)
            .thenAccept(response -> {
                System.out.println("Job ID: " + response.job().jobId());
                System.out.println("Description: " + response.job().description());
                System.out.println("Status: " + response.job().statusAsString());
                System.out.println("Role ARN: " + response.job().roleArn());
                System.out.println("Priority: " + response.job().priority());
                System.out.println("Progress Summary: " + response.job().progressSummary());

                // Print out details about the job manifest.
                JobManifest manifest = response.job().manifest();
                System.out.println("Manifest Location: " + manifest.location().objectArn());
                System.out.println("Manifest ETag: " + manifest.location().eTag());

                // Print out details about the job operation.
                JobOperation operation = response.job().operation();
                if (operation.s3PutObjectTagging() != null) {
                    System.out.println("Operation: S3 Put Object Tagging");
                    System.out.println("Tag Set: " + operation.s3PutObjectTagging().tagSet());
                }

                // Print out details about the job report.
                JobReport report = response.job().report();
                System.out.println("Report Bucket: " + report.bucket());
                System.out.println("Report Prefix: " + report.prefix());
                System.out.println("Report Format: " + report.format());
                System.out.println("Report Enabled: " + report.enabled());
                System.out.println("Report Scope: " + report.reportScopeAsString());
            })
            .exceptionally(ex -> {
                System.err.println("Failed to describe job: " + ex.getMessage());
                throw new RuntimeException(ex);
            });
    }
```
+  有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[DescribeJob](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/DescribeJob)*中的。

------
#### [ Python ]

**适用于 Python 的 SDK（Boto3）**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/s3/scenarios/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    def describe_job_details(self, job_id: str, account_id: str) -> None:
        """
        Describe detailed information about a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            job = response['Job']
            print(f"Job ID: {job['JobId']}")
            print(f"Description: {job.get('Description', 'N/A')}")
            print(f"Status: {job['Status']}")
            print(f"Role ARN: {job['RoleArn']}")
            print(f"Priority: {job['Priority']}")
            if 'ProgressSummary' in job:
                progress = job['ProgressSummary']
                print(f"Progress Summary: Total={progress.get('TotalNumberOfTasks', 0)}, "
                      f"Succeeded={progress.get('NumberOfTasksSucceeded', 0)}, "
                      f"Failed={progress.get('NumberOfTasksFailed', 0)}")
        except ClientError as e:
            print(f"Error describing job: {e}")
            raise
```
+  有关 API 的详细信息，请参阅适用[DescribeJob](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/DescribeJob)于 *Python 的AWS SDK (Boto3) API 参考*。

------

# `GetJobTagging`与 AWS SDK 一起使用
<a name="s3-control_example_s3-control_GetJobTagging_section"></a>

以下代码示例演示如何使用 `GetJobTagging`。

操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+  [了解基本功能](s3-control_example_s3-control_Basics_section.md) 

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

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/s3/src/main/java/com/example/s3/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    /**
     * Asynchronously retrieves the tags associated with a specific job in an AWS account.
     *
     * @param jobId     the ID of the job for which to retrieve the tags
     * @param accountId the ID of the AWS account associated with the job
     * @return a {@link CompletableFuture} that completes when the job tags have been retrieved, or with an exception if the operation fails
     * @throws RuntimeException if an error occurs while retrieving the job tags
     */
    public CompletableFuture<Void> getJobTagsAsync(String jobId, String accountId) {
        GetJobTaggingRequest request = GetJobTaggingRequest.builder()
            .jobId(jobId)
            .accountId(accountId)
            .build();

        return asyncClient.getJobTagging(request)
            .thenAccept(response -> {
                List<S3Tag> tags = response.tags();
                if (tags.isEmpty()) {
                    System.out.println("No tags found for job ID: " + jobId);
                } else {
                    for (S3Tag tag : tags) {
                        System.out.println("Tag key is: " + tag.key());
                        System.out.println("Tag value is: " + tag.value());
                    }
                }
            })
            .exceptionally(ex -> {
                System.err.println("Failed to get job tags: " + ex.getMessage());
                throw new RuntimeException(ex); // Propagate the exception
            });
    }
```
+  有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[GetJobTagging](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/GetJobTagging)*中的。

------
#### [ Python ]

**适用于 Python 的 SDK（Boto3）**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/s3/scenarios/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    def get_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Get tags associated with a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.get_job_tagging(
                AccountId=account_id,
                JobId=job_id
            )
            tags = response.get('Tags', [])
            if tags:
                print(f"Tags for job {job_id}:")
                for tag in tags:
                    print(f"  {tag['Key']}: {tag['Value']}")
            else:
                print(f"No tags found for job ID: {job_id}")
        except ClientError as e:
            print(f"Error getting job tags: {e}")
            raise
```
+  有关 API 的详细信息，请参阅适用[GetJobTagging](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/GetJobTagging)于 *Python 的AWS SDK (Boto3) API 参考*。

------

# `PutJobTagging`与 AWS SDK 一起使用
<a name="s3-control_example_s3-control_PutJobTagging_section"></a>

以下代码示例演示如何使用 `PutJobTagging`。

操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+  [了解基本功能](s3-control_example_s3-control_Basics_section.md) 

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

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/s3/src/main/java/com/example/s3/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    /**
     * Asynchronously adds tags to a job in the system.
     *
     * @param jobId     the ID of the job to add tags to
     * @param accountId the account ID associated with the job
     * @return a CompletableFuture that completes when the tagging operation is finished
     */
    public CompletableFuture<Void> putJobTaggingAsync(String jobId, String accountId) {
        S3Tag departmentTag = S3Tag.builder()
            .key("department")
            .value("Marketing")
            .build();

        S3Tag fiscalYearTag = S3Tag.builder()
            .key("FiscalYear")
            .value("2020")
            .build();

        PutJobTaggingRequest putJobTaggingRequest = PutJobTaggingRequest.builder()
            .jobId(jobId)
            .accountId(accountId)
            .tags(departmentTag, fiscalYearTag)
            .build();

        return asyncClient.putJobTagging(putJobTaggingRequest)
            .thenRun(() -> {
                System.out.println("Additional Tags were added to job " + jobId);
            })
            .exceptionally(ex -> {
                System.err.println("Failed to add tags to job: " + ex.getMessage());
                throw new RuntimeException(ex); // Propagate the exception
            });
    }
```
+  有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[PutJobTagging](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/PutJobTagging)*中的。

------
#### [ Python ]

**适用于 Python 的 SDK（Boto3）**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/s3/scenarios/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    def put_job_tags(self, job_id: str, account_id: str) -> None:
        """
        Add tags to a batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            self.s3control_client.put_job_tagging(
                AccountId=account_id,
                JobId=job_id,
                Tags=[
                    {'Key': 'Environment', 'Value': 'Development'},
                    {'Key': 'Team', 'Value': 'DataProcessing'}
                ]
            )
            print(f"Additional tags were added to job {job_id}")
        except ClientError as e:
            print(f"Error adding job tags: {e}")
            raise
```
+  有关 API 的详细信息，请参阅适用[PutJobTagging](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/PutJobTagging)于 *Python 的AWS SDK (Boto3) API 参考*。

------

# `UpdateJobPriority`与 AWS SDK 或 CLI 配合使用
<a name="s3-control_example_s3-control_UpdateJobPriority_section"></a>

以下代码示例演示如何使用 `UpdateJobPriority`。

操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+  [了解基本功能](s3-control_example_s3-control_Basics_section.md) 

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

**AWS CLI**  
**更新 Amazon S3 批量操作任务的任务优先级**  
以下 `update-job-priority` 示例会将指定的任务更新为新的优先级。  

```
aws s3control update-job-priority \
    --account-id 123456789012 \
    --job-id 8d9a18fe-c303-4d39-8ccc-860d372da386 \
    --priority 52
```
输出：  

```
{
    "JobId": "8d9a18fe-c303-4d39-8ccc-860d372da386",
    "Priority": 52
}
```
+  有关 API 的详细信息，请参阅*AWS CLI 命令参考[UpdateJobPriority](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3control/update-job-priority.html)*中的。

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

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/s3/src/main/java/com/example/s3/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    /**
     * Updates the priority of a job asynchronously.
     *
     * @param jobId     the ID of the job to update
     * @param accountId the ID of the account associated with the job
     * @return a {@link CompletableFuture} that represents the asynchronous operation, which completes when the job priority has been updated or an error has occurred
     */
    public CompletableFuture<Void> updateJobPriorityAsync(String jobId, String accountId) {
        UpdateJobPriorityRequest priorityRequest = UpdateJobPriorityRequest.builder()
            .accountId(accountId)
            .jobId(jobId)
            .priority(60)
            .build();

        CompletableFuture<Void> future = new CompletableFuture<>();
        getAsyncClient().updateJobPriority(priorityRequest)
            .thenAccept(response -> {
                System.out.println("The job priority was updated");
                future.complete(null); // Complete the CompletableFuture on successful execution
            })
            .exceptionally(ex -> {
                System.err.println("Failed to update job priority: " + ex.getMessage());
                future.completeExceptionally(ex); // Complete the CompletableFuture exceptionally on error
                return null; // Return null to handle the exception
            });

        return future;
    }
```
+  有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[UpdateJobPriority](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/UpdateJobPriority)*中的。

------
#### [ Python ]

**适用于 Python 的 SDK（Boto3）**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/s3/scenarios/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    def update_job_priority(self, job_id: str, account_id: str) -> None:
        """
        Update the priority of a batch job and start it.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            current_status = response['Job']['Status']
            print(f"Current job status: {current_status}")
            
            if current_status in ['Ready', 'Suspended']:
                self.s3control_client.update_job_priority(
                    AccountId=account_id,
                    JobId=job_id,
                    Priority=60
                )
                print("The job priority was updated")
                
                try:
                    self.s3control_client.update_job_status(
                        AccountId=account_id,
                        JobId=job_id,
                        RequestedJobStatus='Ready'
                    )
                    print("Job activated successfully")
                except ClientError as activation_error:
                    print(f"Note: Could not activate job automatically: {activation_error}")
                    print("Job priority was updated successfully. Job may need manual activation in the console.")
            elif current_status in ['Active', 'Completing', 'Complete']:
                print(f"Job is in '{current_status}' state - priority cannot be updated")
                if current_status == 'Completing':
                    print("Job is finishing up and will complete soon.")
                elif current_status == 'Complete':
                    print("Job has already completed successfully.")
                else:
                    print("Job is currently running.")
            else:
                print(f"Job is in '{current_status}' state - priority update not allowed")
                
        except ClientError as e:
            print(f"Error updating job priority: {e}")
            print("Continuing with the scenario...")
            return
```
+  有关 API 的详细信息，请参阅适用[UpdateJobPriority](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/UpdateJobPriority)于 *Python 的AWS SDK (Boto3) API 参考*。

------

# `UpdateJobStatus`与 AWS SDK 或 CLI 配合使用
<a name="s3-control_example_s3-control_UpdateJobStatus_section"></a>

以下代码示例演示如何使用 `UpdateJobStatus`。

操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+  [了解基本功能](s3-control_example_s3-control_Basics_section.md) 

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

**AWS CLI**  
**更新 Amazon S3 批量操作任务的状态**  
以下 `update-job-status` 示例取消正在等待批准的指定任务。  

```
aws s3control update-job-status \
    --account-id 123456789012 \
    --job-id 8d9a18fe-c303-4d39-8ccc-860d372da386 \
    --requested-job-status Cancelled
```
输出：  

```
{
    "Status": "Cancelled",
    "JobId": "8d9a18fe-c303-4d39-8ccc-860d372da386"
}
```
以下 `update-job-status` 示例确认并运行正在等待批准的指定任务。  

```
aws s3control update-job-status \
    --account-id 123456789012 \
    --job-id 5782949f-3301-4fb3-be34-8d5bab54dbca \
    --requested-job-status Ready

Output::

{
    "Status": "Ready",
    "JobId": "5782949f-3301-4fb3-be34-8d5bab54dbca"
}
```
以下 `update-job-status` 示例取消正在运行的指定任务。  

```
 aws s3control update-job-status \
    --account-id 123456789012 \
    --job-id 5782949f-3301-4fb3-be34-8d5bab54dbca \
    --requested-job-status Cancelled

Output::
{
         "Status": "Cancelling",
         "JobId": "5782949f-3301-4fb3-be34-8d5bab54dbca"
}
```
+  有关 API 的详细信息，请参阅*AWS CLI 命令参考[UpdateJobStatus](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3control/update-job-status.html)*中的。

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

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/s3/src/main/java/com/example/s3/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    /**
     * Cancels a job asynchronously.
     *
     * @param jobId The ID of the job to be canceled.
     * @param accountId The ID of the account associated with the job.
     * @return A {@link CompletableFuture} that completes when the job status has been updated to "CANCELLED".
     *         If an error occurs during the update, the returned future will complete exceptionally.
     */
    public CompletableFuture<Void> cancelJobAsync(String jobId, String accountId) {
        UpdateJobStatusRequest updateJobStatusRequest = UpdateJobStatusRequest.builder()
            .accountId(accountId)
            .jobId(jobId)
            .requestedJobStatus(String.valueOf(JobStatus.CANCELLED))
            .build();

        return asyncClient.updateJobStatus(updateJobStatusRequest)
            .thenAccept(updateJobStatusResponse -> {
                System.out.println("Job status updated to: " + updateJobStatusResponse.status());
            })
            .exceptionally(ex -> {
                System.err.println("Failed to cancel job: " + ex.getMessage());
                throw new RuntimeException(ex); // Propagate the exception
            });
    }
```
+  有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[UpdateJobStatus](https://docs.aws.amazon.com/goto/SdkForJavaV2/s3control-2018-08-20/UpdateJobStatus)*中的。

------
#### [ Python ]

**适用于 Python 的 SDK（Boto3）**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/s3/scenarios/batch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    def cancel_job(self, job_id: str, account_id: str) -> None:
        """
        Cancel an S3 batch job.

        Args:
            job_id (str): ID of the batch job
            account_id (str): AWS account ID
        """
        try:
            response = self.s3control_client.describe_job(
                AccountId=account_id,
                JobId=job_id
            )
            current_status = response['Job']['Status']
            print(f"Current job status: {current_status}")

            if current_status in ['Ready', 'Suspended', 'Active']:
                self.s3control_client.update_job_status(
                    AccountId=account_id,
                    JobId=job_id,
                    RequestedJobStatus='Cancelled'
                )
                print(f"Job {job_id} was successfully canceled.")
            elif current_status in ['Completing', 'Complete']:
                print(f"Job is in '{current_status}' state - cannot be cancelled")
                if current_status == 'Completing':
                    print("Job is finishing up and will complete soon.")
                elif current_status == 'Complete':
                    print("Job has already completed successfully.")
            else:
                print(f"Job is in '{current_status}' state - cancel not allowed")
        except ClientError as e:
            print(f"Error canceling job: {e}")
            raise
```
+  有关 API 的详细信息，请参阅适用[UpdateJobStatus](https://docs.aws.amazon.com/goto/boto3/s3control-2018-08-20/UpdateJobStatus)于 *Python 的AWS SDK (Boto3) API 参考*。

------