rocketMq消息的发送和消息消费

rocketMq消息的发送和消息消费

###一.消息推送 ```java public void pushMessage() { String message = "推送消息内容!"; try { DefaultMQProducer producer = new DefaultMQProducer(producerGroup); // 设置NameServer地址 producer.setNamesrvAddr("服务器地址+端口号"); producer.setInstanceName("producer"); // 只需要在发送前初始化一次 producer.start(); // 构建消息实体
        Message msg = new Message(topic,// topic
                tag,// tag
                message.getBytes()// body
        );
        SendResult sendResult = producer.send(msg);
        System.out.printf("%s%n", sendResult);
        producer.shutdown();
    } catch (Exception ex) {
        ex.printStackTrace();
    }

}


###二.消息消费
```java
    @Autowired
    private MessageReceiveService messageReceiveService;
	//====好差评的服务器地址和端口=====
    @Value("${app.message.address}")
    private String address;
	//====好差评的topic=====
    @Value("${app.message.topic}")
    private String topic;
	//====好差评的组名=====
    @Value("${app.message.groupName}")
    private String consumerGroup;

    /**
     * 开始消费rocketMQ消息
     */
    @PostConstruct
    public void init() {
        try {
            DefaultMQPushConsumer consumer = new DefaultMQPushConsumer(consumerGroup);
            consumer.setNamesrvAddr(address);
            consumer.subscribe(topic, "*");
            consumer.registerMessageListener(messageReceiveService);
            consumer.start();
            logger.info("rocketMQ consumer start");
        } catch (Exception e) {
            logger.error("reocketMQ consumer start error!", e);
            e.printStackTrace();
        }
    }
 @Service
public class MessageReceiveService implements MessageListenerConcurrently {

    private static Logger logger = LoggerFactory.getLogger(MessageReceiveService.class);

    @Value("${accept_system_interface}")
    private String acceptSystemInterface;

    /**
     * 消费rocketMQ上的消息
     *
     * @param msgs    rocketMQ消息
     * @param context 消息消费上下文
     * @return 消息处理状态
     */
    @Override
    public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> msgs, ConsumeConcurrentlyContext context) {
        // 判断消息类型
        return handleHcpMessage(msgs, context);
    }

    /**
     * <p>好差评消息消费</p>
     *
     * @param msgs    当前消息(组)
     * @param context 消息消费上下文
     */
    @Transactional(rollbackFor = {RuntimeException.class})
    private ConsumeConcurrentlyStatus handleHcpMessage(List<MessageExt> msgs, ConsumeConcurrentlyContext context) {
        for (MessageExt msg : msgs) {
            // 消息校验与序列化
            String message = null;
            try {
			//获得消息的内容,转utf-8防止出现乱码
                message = new String(msg.getBody(),"utf-8");
            }catch (Exception e){
                e.printStackTrace();
                errorLogSave(message,"当前消息转化utf-8出现异常信息");
                return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
            }
			//对消息进行对应的操作
			...
        }
        return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
    }
posted @ 2019-11-18 10:57  晓之羽  阅读(1886)  评论(0编辑  收藏  举报