消息驱动Spring Cloud Stream怎么配置

本篇内容主要讲解"消息驱动Spring Cloud Stream怎么配置"，感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷，实用性强。下面就让小编来带大家学习"消息驱动Spring Cloud Stream怎么配置"吧!

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：

1. 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。

2. 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

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

        org.springframework.cloud      spring-cloud-starter-stream-rabbit  

4. 在yml文件里面配置rabbit mq

server:    port: 5666  spring:    application:      name: commonservice-mq-producer    profiles:       active: dev    cloud:      config:        discovery:           enabled: true          service-id: commonservice-config-server    # 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  eureka:     client:      service-url:        defaultZone: http://honghu:123456@localhost:8761/eureka    instance:      prefer-ip-address: true

5. 定义接口ProducerService

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();  }

6. 定义绑定

package com.honghu.cloud.producer;    import org.springframework.cloud.stream.annotation.EnableBinding;    @EnableBinding(ProducerService.class)  public class SendServerConfig {    }

7. 定义发送消息业务ProducerController

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方式发送对象      * @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");          Message msg = MessageBuilder.withPayload(user).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json对象      * @param name 路径参数      * @return 成功|失败      */      @RequestMapping(value = "/sendJsonObj", method = RequestMethod.POST)      public ResponseVO sendJsonObj(@RequestBody JSONObject jsonObj) {          Message 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);      }  }  

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

        org.springframework.cloud      spring-cloud-starter-stream-rabbit  

9. 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                stream:        bindings:          mqScoreInput:            group: honghu_queue            destination: honghu_exchange            contentType: application/json                rabbitmq:       host: localhost       port: 5672       username: honghu       password: honghu  eureka:     client:      service-url:        defaultZone: http://honghu:123456@localhost:8761/eureka    instance:      prefer-ip-address: true

10. 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 {            String SCORE_INPUT = "mqScoreInput";        @Input(ConsumerService.SCORE_INPUT)      SubscribableChannel sendMessage();    }

11. 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);      }            @StreamListener(ConsumerService.SCORE_INPUT)      public void onMessage(Object obj) {          System.out.println("消费者1，接收到的消息：" + obj);      }    }

12. 分别启动commonservice-mq-producer、commonservice-mq-consumer1

13. 通过postman来验证消息的发送和接收

到此，相信大家对"消息驱动Spring Cloud Stream怎么配置"有了更深的了解，不妨来实际操作一番吧！这里是网站，更多相关内容可以进入相关频道进行查询，关注我们，继续学习！