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# 在调度器中 EventBridge 使用模板化目标
<a name="managing-targets-templated"></a>

 *模板化目标*是一组核心 AWS 服务（例如 Amazon SQS、Lambda 和 Step Functions）中的一组常见 API 操作。例如，您可以通过提供函数 ARN 来将 Lambda 的 [https://docs.aws.amazon.com/lambda/latest/dg/API_Invoke](https://docs.aws.amazon.com/lambda/latest/dg/API_Invoke) 操作设为目标，或者使用队列 ARN 来将 Amazon SQS 的 [https://docs.aws.amazon.com/](https://docs.aws.amazon.com/) 操作设为目标。要配置模板化目标，您还必须向计划的执行角色授予执行目标 API 操作的权限。

 要使用 AWS CLI 或其中一个 EventBridge 调度器以编程方式配置模板化目标 SDKs，您需要指定执行角色的 ARN、目标资源的 ARN、您希望 EventBridge 调度器传送到目标的可选输入，对于某些模板化目标，还需要为该目标指定一组带有附加配置选项的唯一参数。当您为模板化目标资源指定 ARN 时， EventBridge 调度器会自动假设您要为该服务调用支持的 API 操作。如果您想让 EventBridge Scheduler 针对服务使用不同的 API 操作，则必须将该目标配置为[通用目标](managing-targets-universal.md)。

 以下是 S EventBridge cheduler 支持的所有模板化目标的完整列表，以及每个目标的唯一关联参数集（如果适用）。为每个参数集选择链接，以查看《*EventBridge 调度器 API 参考*》中的必填字段和可选字段。
+ **CodeBuild** – [https://docs.aws.amazon.com/codebuild/latest/APIReference/API_StartBuild.html](https://docs.aws.amazon.com/codebuild/latest/APIReference/API_StartBuild.html)
+ **CodePipeline** – [https://docs.aws.amazon.com/codepipeline/latest/APIReference/API_StartPipelineExecution.html](https://docs.aws.amazon.com/codepipeline/latest/APIReference/API_StartPipelineExecution.html)
+ **Amazon ECS** – [https://docs.aws.amazon.com/AmazonECS/latest/APIReference/API_RunTask.html](https://docs.aws.amazon.com/AmazonECS/latest/APIReference/API_RunTask.html)
  + 参数：[https://docs.aws.amazon.com/scheduler/latest/APIReference/API_EcsParameters.html](https://docs.aws.amazon.com/scheduler/latest/APIReference/API_EcsParameters.html)
+ **EventBridge** – [https://docs.aws.amazon.com/eventbridge/latest/APIReference/API_PutEvents.html](https://docs.aws.amazon.com/eventbridge/latest/APIReference/API_PutEvents.html)
  + 参数：[https://docs.aws.amazon.com/scheduler/latest/APIReference/API_EventBridgeParameters.html](https://docs.aws.amazon.com/scheduler/latest/APIReference/API_EventBridgeParameters.html)
+ **Amazon Inspector** – [https://docs.aws.amazon.com/inspector/v1/APIReference/API_StartAssessmentRun.html](https://docs.aws.amazon.com/inspector/v1/APIReference/API_StartAssessmentRun.html)
+ **Kinesis** – [https://docs.aws.amazon.com/kinesis/latest/APIReference/API_PutRecord.html](https://docs.aws.amazon.com/kinesis/latest/APIReference/API_PutRecord.html)
  + 参数：[https://docs.aws.amazon.com/scheduler/latest/APIReference/API_KinesisParameters.html](https://docs.aws.amazon.com/scheduler/latest/APIReference/API_KinesisParameters.html)
+ **Firehose** – [https://docs.aws.amazon.com/firehose/latest/APIReference/API_PutRecord.html](https://docs.aws.amazon.com/firehose/latest/APIReference/API_PutRecord.html)
+ **Lambda** – [https://docs.aws.amazon.com/lambda/latest/dg/API_Invoke.html](https://docs.aws.amazon.com/lambda/latest/dg/API_Invoke.html)
+ **SageMaker 人工智能** — [https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartPipelineExecution.html](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartPipelineExecution.html)
  + 参数：[https://docs.aws.amazon.com/scheduler/latest/APIReference/API_SageMakerPipelineParameters.html](https://docs.aws.amazon.com/scheduler/latest/APIReference/API_SageMakerPipelineParameters.html)
+ **Amazon SNS** – [https://docs.aws.amazon.com/sns/latest/api/API_Publish.html](https://docs.aws.amazon.com/sns/latest/api/API_Publish.html)
+ **Amazon SQS** - [https://docs.aws.amazon.com/AWSSimpleQueueService/latest/APIReference/API_SendMessage.html](https://docs.aws.amazon.com/AWSSimpleQueueService/latest/APIReference/API_SendMessage.html)
  + 参数：[https://docs.aws.amazon.com/scheduler/latest/APIReference/API_SqsParameters.html](https://docs.aws.amazon.com/scheduler/latest/APIReference/API_SqsParameters.html)
+ **Step Functions** – [https://docs.aws.amazon.com/step-functions/latest/apireference/API_StartExecution.html](https://docs.aws.amazon.com/step-functions/latest/apireference/API_StartExecution.html)

 使用以下示例来学习如何配置不同的模板化目标，以及如何为每个描述的目标配置所需的 IAM 权限。

## Amazon SQS `SendMessage`
<a name="managing-targets-templated-sqs"></a>

**Example 执行角色的权限策略**    
****  

```
{
    "Version":"2012-10-17",		 	 	 
    "Statement": [
        {
            "Action": [
                "sqs:SendMessage"
            ],
            "Effect": "Allow",
            "Resource": "*"
        }
    ]
}
```

**Example AWS CLI**  

```
$ aws scheduler create-schedule --name sqs-templated --schedule-expression 'rate(5 minutes)' \
--target '{"RoleArn": "ROLE_ARN", "Arn":"QUEUE_ARN", "Input": "Message for scheduleArn: '<aws.scheduler.schedule-arn>', scheduledTime: '<aws.scheduler.scheduled-time>'" }' \
--flexible-time-window '{ "Mode": "OFF"}'
```

**Example Python 开发工具包**  

```
import boto3
scheduler = boto3.client('scheduler')

flex_window = { "Mode": "OFF" }

sqs_templated = {
    "RoleArn": "<ROLE_ARN>",
    "Arn": "<QUEUE_ARN>",
    "Input": "Message for scheduleArn: '<aws.scheduler.schedule-arn>', scheduledTime: '<aws.scheduler.scheduled-time>'"
}

scheduler.create_schedule(
    Name="sqs-python-templated",
    ScheduleExpression="rate(5 minutes)",
    Target=sqs_templated,
    FlexibleTimeWindow=flex_window)
```

**Example Java SDK**  

```
package com.example;

import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.scheduler.SchedulerClient;
import software.amazon.awssdk.services.scheduler.model.*;


public class MySchedulerApp {

    public static void main(String[] args) {
        
        final SchedulerClient client = SchedulerClient.builder()
                .region(Region.US_WEST_2)
                .build();
        
        Target sqsTarget = Target.builder()
                .roleArn("<ROLE_ARN>")
                .arn("<QUEUE_ARN>")
                .input("Message for scheduleArn: '<aws.scheduler.schedule-arn>', scheduledTime: '<aws.scheduler.scheduled-time>'")
                .build();
        
        CreateScheduleRequest createScheduleRequest = CreateScheduleRequest.builder()
                .name("<SCHEDULE NAME>")
                .scheduleExpression("rate(10 minutes)")
                .target(sqsTarget)
                .flexibleTimeWindow(FlexibleTimeWindow.builder()
                        .mode(FlexibleTimeWindowMode.OFF)
                        .build())
                .build();
                
        client.createSchedule(createScheduleRequest);
        System.out.println("Created schedule with rate expression and an Amazon SQS templated target");
    }
}
```

## Lambda `Invoke`
<a name="managing-targets-templated-lambda"></a>

**Example 执行角色的权限策略**    
****  

```
{
    "Version":"2012-10-17",		 	 	 
    "Statement": [
        {
            "Action": [
                "lambda:InvokeFunction"
            ],
            "Effect": "Allow",
            "Resource": "*"
        }
    ]
}
```

**Example AWS CLI**  

```
$ aws scheduler create-schedule --name lambda-templated-schedule --schedule-expression 'rate(5 minutes)' \
--target '{"RoleArn": "ROLE_ARN", "Arn":"FUNCTION_ARN", "Input": "{ \"Payload\": \"TEST_PAYLOAD\" }" }' \
--flexible-time-window '{ "Mode": "OFF"}'
```

**Example Python 开发工具包**  

```
import boto3
scheduler = boto3.client('scheduler')

flex_window = { "Mode": "OFF" }

lambda_templated = {
    "RoleArn": "<ROLE_ARN>",
    "Arn": "<LAMBDA_ARN>",
    "Input": "{ 'Payload': 'TEST_PAYLOAD' }"}
}

scheduler.create_schedule(
    Name="lambda-python-templated",
    ScheduleExpression="rate(5 minutes)",
    Target=lambda_templated,
    FlexibleTimeWindow=flex_window)
```

**Example Java SDK**  

```
package com.example;

import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.scheduler.SchedulerClient;
import software.amazon.awssdk.services.scheduler.model.*;


public class MySchedulerApp {

    public static void main(String[] args) {
        
        final SchedulerClient client = SchedulerClient.builder()
                .region(Region.US_WEST_2)
                .build();
                
        Target lambdaTarget = Target.builder()
                .roleArn("<ROLE_ARN>")
                .arn("<Lambda ARN>")
                .input("{ 'Payload': 'TEST_PAYLOAD' }")
                .build();
        
        CreateScheduleRequest createScheduleRequest = CreateScheduleRequest.builder()
                .name("<SCHEDULE_NAME>")
                .scheduleExpression("rate(10 minutes)")
                .target(lambdaTarget)
                .flexibleTimeWindow(FlexibleTimeWindow.builder()
                        .mode(FlexibleTimeWindowMode.OFF)
                        .build())
                .clientToken("<Token GUID>")
                .build();
                
        client.createSchedule(createScheduleRequest);
        System.out.println("Created schedule with rate expression and Lambda templated target");        
    }
}
```

## Step Functions `StartExecution`
<a name="managing-targets-templated-sfn"></a>

**Example 执行角色的权限策略**    
****  

```
{
    "Version":"2012-10-17",		 	 	 
    "Statement": [
        {
            "Action": [
                "states:StartExecution"
            ],
            "Effect": "Allow",
            "Resource": "*"
        }
    ]
}
```

**Example AWS CLI**  

```
$ aws scheduler create-schedule --name sfn-templated-schedule --schedule-expression 'rate(5 minutes)' \
--target '{"RoleArn": "ROLE_ARN", "Arn":"STATE_MACHINE_ARN", "Input": "{ \"Payload\": \"TEST_PAYLOAD\" }" }' \
--flexible-time-window '{ "Mode": "OFF"}'
```

**Example Python 开发工具包**  

```
import boto3
scheduler = boto3.client('scheduler')

flex_window = { "Mode": "OFF" }

sfn_templated= {
    "RoleArn": "<ROLE_ARN>",
    "Arn": "<STATE_MACHINE_ARN>",
    "Input": "{ 'Payload': 'TEST_PAYLOAD' }"
}

scheduler.create_schedule(Name="sfn-python-templated",
    ScheduleExpression="rate(5 minutes)",
    Target=sfn_templated,
    FlexibleTimeWindow=flex_window)
```

**Example Java SDK**  

```
package com.example;

import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.scheduler.SchedulerClient;
import software.amazon.awssdk.services.scheduler.model.*;


public class MySchedulerApp {

    public static void main(String[] args) {
        
        final SchedulerClient client = SchedulerClient.builder()
                .region(Region.US_WEST_2)
                .build();
                
        Target stepFunctionsTarget = Target.builder()
                .roleArn("<ROLE_ARN>")
                .arn("<STATE_MACHINE_ARN>")
                .input("{ 'Payload': 'TEST_PAYLOAD' }")
                .build();
        
        CreateScheduleRequest createScheduleRequest = CreateScheduleRequest.builder()
                .name("<SCHEDULE_NAME>")
                .scheduleExpression("rate(10 minutes)")
                .target(stepFunctionsTarget)
                .flexibleTimeWindow(FlexibleTimeWindow.builder()
                        .mode(FlexibleTimeWindowMode.OFF)
                        .build())
                .clientToken("<Token GUID>")
                .build();
                
        client.createSchedule(createScheduleRequest);
        System.out.println("Created schedule with rate expression and Step Function templated target");
    }
}
```