本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

# 服務任務狀態變更事件
<a name="service-job-events"></a>

只要現有服務任務變更狀態，就會建立事件。如需服務任務狀態的詳細資訊，請參閱 [將 AWS Batch 服務任務狀態映射至 SageMaker AI 狀態](service-job-status.md)。

**注意**  
事件不會為初始任務提交建立。

**Example 服務任務狀態變更事件**  
服務任務狀態變更事件會以下列格式交付。`detail` 區段類似 *AWS Batch API 參考*中 [DescribeServiceJob](https://docs.aws.amazon.com/batch/latest/APIReference/API_DescribeServiceJob.html) API 操作傳回的回應。如需有關 EventBridge 參數的詳細資訊，請參閱 *Amazon EventBridge 使用者指南*中的[事件和事件模式](https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-events.html)。  
事件 中不包含 `tags`和 `serviceRequestPayload` 欄位`detail`。

```
{
  "version": "0",
  "id": "c8f9c4b5-76e5-d76a-f980-7011e206042b",
  "detail-type": "Batch Service Job State Change",
  "source": "aws.batch",
  "account": "{{123456789012}}",
  "time": "2022-01-11T23:36:40Z",
  "region": "{{us-east-1}}",
  "resources": [
    "arn:aws:batch:{{us-east-1}}:{{123456789012}}:service-job/4c7599ae-0a82-49aa-ba5a-4727fcce14a8"
  ],
  "detail": {
    "attempts": [
      {
        "serviceResourceId": {
          "name": "TrainingJobArn",
          "value": "arn:aws:sagemaker:us-east-1:123456789012:training-job/AWSBatchmy-training-job88b610a69aa8380ca5b0a7aba3f81cb8"
        },
        "startedAt": 1641944300058,
        "stoppedAt": 1641944400058,
        "statusReason": "Received status from SageMaker: Training job completed"
      }
    ],
    "createdAt": 1641944200058,
    "jobArn": "arn:aws:batch:{{us-east-1}}:{{123456789012}}:service-job/4c7599ae-0a82-49aa-ba5a-4727fcce14a8",
    "jobId": "0bb17543-ece6-4480-b1a7-a556d344746b",
    "jobName": "event-test",
    "jobQueue": "arn:aws:batch:{{us-east-1}}:{{123456789012}}:job-queue/HappyPathJobQueue",
    "latestAttempt": {
      "serviceResourceId": {
        "name": "TrainingJobArn",
        "value": "arn:aws:sagemaker:us-east-1:123456789012:training-job/AWSBatchmy-training-job88b610a69aa8380ca5b0a7aba3f81cb8"
      }
    },
    "serviceJobType": "SAGEMAKER_TRAINING",
    "startedAt": 1641944300058,
    "status": "SUCCEEDED",
    "statusReason": "Received status from SageMaker: Training job completed",
    "stoppedAt": 1641944400058,
    "timeoutConfig": {
      "attemptDurationSeconds": 60
    }
  }
}
```