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# 参考：了解 Amazon Batch 日志文件条目
<a name="understanding-service-name-entries"></a>

跟踪是一种配置，允许将事件作为日志文件传输到您指定的 Amazon S3 存储桶。 CloudTrail 日志文件包含一个或多个日志条目。一个事件表示来自任何源的一个请求，包括有关所请求的操作、操作的日期和时间、请求参数等方面的信息。 CloudTrail 日志文件不是公用 API 调用的有序堆栈跟踪，因此它们不会以任何特定顺序显示。

以下示例显示了演示该`[CreateComputeEnvironment](https://docs.amazonaws.cn/batch/latest/APIReference/API_CreateComputeEnvironment.html)`操作的 CloudTrail 日志条目。

```
{
  "eventVersion": "1.05",
  "userIdentity": {
    "type": "AssumedRole",
    "principalId": "AIDACKCEVSQ6C2EXAMPLE:admin",
    "arn": "arn:aws:sts::012345678910:assumed-role/Admin/admin",
    "accountId": "012345678910",
    "accessKeyId": "AKIAIOSFODNN7EXAMPLE",
    "sessionContext": {
      "attributes": {
        "mfaAuthenticated": "false",
        "creationDate": "2017-12-20T00:48:46Z"
      },
      "sessionIssuer": {
        "type": "Role",
        "principalId": "AIDACKCEVSQ6C2EXAMPLE",
        "arn": "arn:aws:iam::012345678910:role/Admin",
        "accountId": "012345678910",
        "userName": "Admin"
      }
    }
  },
  "eventTime": "2017-12-20T00:48:46Z",
  "eventSource": "batch.amazonaws.com",
  "eventName": "CreateComputeEnvironment",
  "awsRegion": "us-east-1",
  "sourceIPAddress": "203.0.113.1",
  "userAgent": "aws-cli/1.11.167 Python/2.7.10 Darwin/16.7.0 botocore/1.7.25",
  "requestParameters": {
    "computeResources": {
      "subnets": [
        "subnet-5eda8e04"
      ],
      "tags": {
        "testBatchTags": "CLI testing CE"
      },
      "desiredvCpus": 0,
      "minvCpus": 0,
      "instanceTypes": [
        "optimal"
      ],
      "securityGroupIds": [
        "sg-aba9e8db"
      ],
      "instanceRole": "ecsInstanceRole",
      "maxvCpus": 128,
      "type": "EC2"
    },
    "state": "ENABLED",
    "type": "MANAGED",
    "computeEnvironmentName": "Test"
  },
  "responseElements": {
    "computeEnvironmentName": "Test",
    "computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/Test"
  },
  "requestID": "890b8639-e51f-11e7-b038-EXAMPLE",
  "eventID": "874f89fa-70fc-4798-bc00-EXAMPLE",
  "readOnly": false,
  "eventType": "AwsApiCall",
  "recipientAccountId": "012345678910"
}
```