Spring Cloud Stream简单用法

目录简单使用Spring Cloud Stream 构建基于RocketMQ的生产者和消费者生产者消费者Stream其他特性消息发送失败的处理消费者错误处理

Spring Cloud Stream对Spring Cloud体系中的Mq进⾏了很好的上层抽象，可以让我们与具体消息中间件解耦合，屏蔽掉了底层具体MQ消息中间件的细节差异，就像Hibernate屏蔽掉了具体数据库（Mysql/Oracle⼀样）。如此⼀来，我们学习、开发、维护MQ都会变得轻松。⽬前Spring Cloud Stream原生⽀持RabbitMQ和Kafka，阿里在这个基础上提供了RocketMQ的支持

简单使用Spring Cloud Stream 构建基于RocketMQ的生产者和消费者

生产者

pom文件中加入依赖

<dependencies>        <dependency>            <groupId>org.springframework.cloud</groupId>            <artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>        </dependency>        <dependency>            <groupId>com.alibaba.cloud</groupId>            <artifactId>spring-cloud-starter-stream-rocketmq</artifactId>            <version>2.1.0.RELEASE</version>        </dependency>    </dependencies>

配置文件中增加关于Spring Cloud Stream binder和bindings的配置

spring:  application:    name: zhao-cloud-stream-producer  cloud:    stream:      rocketmq:        binder:          name-server: 127.0.0.1:9876        bindings:          output:            producer:              group: test              sync: true      bindings:        output:          destination: stream-test-topic          content-type: text/plain # 内容格式。这里使用 JSON

其中destination代表生产的数据发送到的topic 然后定义一个channel用于数据发送

import org.springframework.cloud.stream.annotation.Output;import org.springframework.messaging.MessageChannel;public interface TestChannel {    @Output("output")    MessageChannel output();}

最后构造数据发送的接口

@Controllerpublic class SendMessageController {    @Resource    private TestChannel testChannel;    @ResponseBody    @RequestMapping(value = "send", method = RequestMethod.GET)    public String sendMessage() {        String messageId = UUID.randomUUID().toString();        Message<String> message = MessageBuilder                .withPayload("this is a test:" + messageId)                .setHeader(MessageConst.PROPERTY_TAGS, "test")                .build();        try {            testChannel.output().send(message);            return messageId + "发送成功";        } catch (Exception e) {            return messageId + "发送失败，原因：" + e.getMessage();        }    }}

消费者

消费者的pom引入与生产者相同，在此不再赘述，配置时需要将stream的output修改为input并修改对应属性

spring:  application:    name: zhao-cloud-stream-consumer  cloud:    stream:      rocketmq:        binder:          name-server: 127.0.0.1:9876        bindings:          input:            consumer:              tags: test      bindings:        input:          destination: stream-test-topic          content-type: text/plain # 内容格式。这里使用 JSON          group: test

另外关于channel的构造也要做同样的修改

import org.springframework.cloud.stream.annotation.Input;import org.springframework.messaging.SubscribableChannel;public interface TestChannel {    @Input("input")    SubscribableChannel input();}

最后我在启动类中对收到的消息进行了监听

   @StreamListener("input")    public void receiveInput(@Payload Message message) throws ValidationException {        System.out.println("input1 receive: " + message.getPayload() + ", foo header: " + message.getHeaders().get("foo"));    }

测试结果

Stream其他特性

消息发送失败的处理

消息发送失败后悔发送到默认的一个“topic.errors”的channel中(topic是配置的destination)。要配置消息发送失败的处理，需要将错误消息的channel打开 消费者配置如下

spring:  application:    name: zhao-cloud-stream-producer  cloud:    stream:      rocketmq:        binder:          name-server: 127.0.0.1:9876        bindings:          output:            producer:              group: test              sync: true      bindings:        output:          destination: stream-test-topic          content-type: text/plain # 内容格式。这里使用 JSON          producer:            errorChannelEnabled: true

在启动类中配置错误消息的Channel信息

 @Bean("stream-test-topic.errors")    MessageChannel testoutPutErrorChannel(){        return new PublishSubscribeChannel();    }

新建异常处理service

import org.springframework.integration.annotation.ServiceActivator;import org.springframework.messaging.Message;import org.springframework.stereotype.Service;@Servicepublic class ErrorProducerService {    @ServiceActivator(inputChannel = "stream-test-topic.errors")    public void receiveProducerError(Message message){        System.out.println("receive error msg :"+message);    }}

当发生异常时，由于测试类中已经将异常捕获，处理发送异常主要是在这里进行。模拟，应用与rocketMq断开的场景。可见

消费者错误处理

首先增加配置为

spring:  application:    name: zhao-cloud-stream-producer  cloud:    stream:      rocketmq:        binder:          name-server: 127.0.0.1:9876        bindings:          output:            producer:              group: test              sync: true      bindings:        output:          destination: stream-test-topic          content-type: text/plain # 内容格式。这里使用 JSON          producer:            errorChannelEnabled: true

增加相应的模拟异常的操作

 @StreamListener("input")    public void receiveInput(@Payload Message message) throws ValidationException {        //System.out.println("input1 receive: " + message.getPayload() + ", foo header: " + message.getHeaders().get("foo"));        throw new RuntimeException("oops");    }    @ServiceActivator(inputChannel = "stream-test-topic.test.errors")    public void receiveConsumeError(Message message){        System.out.println("receive error msg"+message.getPayload());    }

代码地址https://github.com/zhendiao/deme-code/tree/main/zp

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那风再温柔。太深的流连便成了一种羁绊，