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
<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
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
<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
<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
<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
<!-- 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：
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
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
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（企业架构源码可以加求球：叁五三陆二肆柒二伍玖）！！
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。
