整合spring cloud云架构 -消息驱动 Spring Cloud Stream

在使用spring cloud云架构的时候，我们不得不使用Spring cloud Stream，因为消息中间件的使用在项目中无处不在，我们公司后面做了娱乐方面的APP，在使用spring cloud做架构的时候，其中消息的异步通知，业务的异步处理都需要使用消息中间件机制。spring cloud的官方给出的集成建议（使用rabbit mq和kafka），我看了一下源码和配置，只要把rabbit mq集成，kafka只是换了一个pom配置jar包而已，闲话少说，我们就直接进入配置实施：

简介：

Spring cloud Stream 数据流操作开发包，封装了与Redis,Rabbit、Kafka等发送接收消息。

使用工具：

rabbit，具体的下载和安装细节我这里不做太多讲解，网上的实例太多了

创建commonservice-mq-producer消息的发送者项目，在pom里面配置stream-rabbit的依赖

Java代码 
<span style="font-size: 16px;"><!-- 引入MQ消息驱动的微服务包，引入stream只需要进行配置化即可，是对rabbit、kafka很好的封装 -->  
<dependency>  
    <groupId>org.springframework.cloud</groupId>  
    <artifactId>spring-cloud-starter-stream-rabbit</artifactId>  
</dependency></span>

在yml文件里面配置rabbit mq

Java代码

<span style="font-size: 16px;">server:  
  port: 5666  
spring:  
  application:  
    name: commonservice-mq-producer  
  profiles:   
    active: dev  
  cloud:  
    config:  
      discovery:   
        enabled: true  
        service-id: commonservice-config-server  
  <span style="color: #ff0000;"># rabbitmq和kafka都有相关配置的默认值，如果修改，可以再次进行配置  
    stream:  
      bindings:  
        mqScoreOutput:   
          destination: honghu_exchange  
          contentType: application/json  
            
  rabbitmq:  
     host: localhost  
     port: 5672  
     username: honghu  
     password: honghu</span>  
eureka:   
  client:  
    service-url:  
      defaultZone: http://honghu:123456@localhost:8761/eureka  
  instance:  
    prefer-ip-address: true</span>

定义接口ProducerService

Java代码

<span style="font-size: 16px;">package com.honghu.cloud.producer;  
  
import org.springframework.cloud.stream.annotation.Output;  
import org.springframework.messaging.SubscribableChannel;  
  
public interface ProducerService {  
      
    String SCORE_OUPUT = "mqScoreOutput";  
      
    @Output(ProducerService.SCORE_OUPUT)  
    SubscribableChannel sendMessage();  
}</span>

定义绑定

Java代码

<span style="font-size: 16px;">package com.honghu.cloud.producer;  
  
import org.springframework.cloud.stream.annotation.EnableBinding;  
  
@EnableBinding(ProducerService.class)  
public class SendServerConfig {  
  
}</span>

定义发送消息业务ProducerController

Java代码

<span style="font-size: 16px;">package com.honghu.cloud.controller;  
  
  
import org.springframework.beans.factory.annotation.Autowired;  
import org.springframework.integration.support.MessageBuilder;  
import org.springframework.messaging.Message;  
import org.springframework.web.bind.annotation.PathVariable;  
import org.springframework.web.bind.annotation.RequestBody;  
import org.springframework.web.bind.annotation.RequestMapping;  
import org.springframework.web.bind.annotation.RequestMethod;  
import org.springframework.web.bind.annotation.RestController;  
  
import com.honghu.cloud.common.code.ResponseCode;  
import com.honghu.cloud.common.code.ResponseVO;  
import com.honghu.cloud.entity.User;  
import com.honghu.cloud.producer.ProducerService;  
  
import net.sf.json.JSONObject;  
  
@RestController  
@RequestMapping(value = "producer")  
public class ProducerController {  
      
    @Autowired  
    private ProducerService producerService;  
      
      
    /** 
     * 通过get方式发送</span>对象<span style="font-size: 16px;"> 
     * @param name 路径参数 
     * @return 成功|失败 
     */  
    @RequestMapping(value = "/sendObj", method = RequestMethod.GET)  
    public ResponseVO sendObj() {  
        User user = new User(1, "hello User");  
        <span style="color: #ff0000;">Message<User> msg = MessageBuilder.withPayload(user).build();</span>  
        boolean result = producerService.sendMessage().send(msg);  
        if(result){  
            return ResponseCode.buildEnumResponseVO(ResponseCode.RESPONSE_CODE_SUCCESS, false);  
        }  
        return ResponseCode.buildEnumResponseVO(ResponseCode.RESPONSE_CODE_FAILURE, false);  
    }  
      
      
    /** 
     * 通过get方式发送字符串消息 
     * @param name 路径参数 
     * @return 成功|失败 
     */  
    @RequestMapping(value = "/send/{name}", method = RequestMethod.GET)  
    public ResponseVO send(@PathVariable(value = "name", required = true) String name) {  
        Message msg = MessageBuilder.withPayload(name.getBytes()).build();  
        boolean result = producerService.sendMessage().send(msg);  
        if(result){  
            return ResponseCode.buildEnumResponseVO(ResponseCode.RESPONSE_CODE_SUCCESS, false);  
        }  
        return ResponseCode.buildEnumResponseVO(ResponseCode.RESPONSE_CODE_FAILURE, false);  
    }  
      
    /** 
     * 通过post方式发送</span>json对象<span style="font-size: 16px;"> 
     * @param name 路径参数 
     * @return 成功|失败 
     */  
    @RequestMapping(value = "/sendJsonObj", method = RequestMethod.POST)  
    public ResponseVO sendJsonObj(@RequestBody JSONObject jsonObj) {  
        Message<JSONObject> msg = MessageBuilder.withPayload(jsonObj).build();  
        boolean result = producerService.sendMessage().send(msg);  
        if(result){  
            return ResponseCode.buildEnumResponseVO(ResponseCode.RESPONSE_CODE_SUCCESS, false);  
        }  
        return ResponseCode.buildEnumResponseVO(ResponseCode.RESPONSE_CODE_FAILURE, false);  
    }  
}  
</span>

创建commonservice-mq-consumer1消息的消费者项目，在pom里面配置stream-rabbit的依赖

Java代码

<!-- 引入MQ消息驱动的微服务包，引入stream只需要进行配置化即可，是对rabbit、kafka很好的封装 -->  
<dependency>  
    <groupId>org.springframework.cloud</groupId>  
    <artifactId>spring-cloud-starter-stream-rabbit</artifactId>  
</dependency>

在yml文件中配置：

Java代码

server:  
  port: 5111  
spring:  
  application:  
    name: commonservice-mq-consumer1  
  profiles:   
    active: dev  
  cloud:  
    config:  
      discovery:   
        enabled: true  
        service-id: commonservice-config-server  
          
    <span style="color: #ff0000;">stream:  
      bindings:  
        mqScoreInput:  
          group: honghu_queue  
          destination: honghu_exchange  
          contentType: application/json  
            
  rabbitmq:  
     host: localhost  
     port: 5672  
     username: honghu  
     password: honghu</span>  
eureka:   
  client:  
    service-url:  
      defaultZone: http://honghu:123456@localhost:8761/eureka  
  instance:  
    prefer-ip-address: true

定义接口ConsumerService

Java代码

package com.honghu.cloud.consumer;  
  
import org.springframework.cloud.stream.annotation.Input;  
import org.springframework.messaging.SubscribableChannel;  
  
public interface ConsumerService {  
      
    <span style="color: #ff0000;">String SCORE_INPUT = "mqScoreInput";  
  
    @Input(ConsumerService.SCORE_INPUT)  
    SubscribableChannel sendMessage();</span>  
  
}

定义启动类和消息消费

Java代码

package com.honghu.cloud;  
  
import org.springframework.boot.SpringApplication;  
import org.springframework.boot.autoconfigure.SpringBootApplication;  
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;  
import org.springframework.cloud.stream.annotation.EnableBinding;  
import org.springframework.cloud.stream.annotation.StreamListener;  
  
import com.honghu.cloud.consumer.ConsumerService;  
import com.honghu.cloud.entity.User;  
  
@EnableEurekaClient  
@SpringBootApplication  
@EnableBinding(ConsumerService.class) //可以绑定多个接口  
public class ConsumerApplication {  
      
    public static void main(String[] args) {  
        SpringApplication.run(ConsumerApplication.class, args);  
    }  
      
    <span style="color: #ff0000;">@StreamListener(ConsumerService.SCORE_INPUT)  
    public void onMessage(Object obj) {  
        System.out.println("消费者1，接收到的消息：" + obj);  
    }</span>  
  
}

分别启动commonservice-mq-producer、commonservice-mq-consumer1
通过postman来验证消息的发送和接收

可以看到接收到了消息，下一章我们介绍mq的集群方案。

到此，整个消息中心方案集成完毕（需要源码可以加qq：2147775633）！！

欢迎大家和我一起学习spring cloud构建微服务云架构，我这边会将近期研发的spring cloud微服务云架构的搭建过程和精髓记录下来，帮助更多有兴趣研发spring cloud框架的朋友，大家来一起探讨spring cloud架构的搭建过程及如何运用于企业项目。

整合spring cloud云架构 -消息驱动 Spring Cloud Stream

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