springboot整合rabbitmq，动态创建queue和监听queue

一、pom.xml添加如下依赖

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
        </dependency>

         <!-- mq的依赖 -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-amqp</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>1.3.2</version>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
   
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-devtools</artifactId>
            <optional>true</optional>
        </dependency>

        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.47</version>
        </dependency>

二、整合rabbitmq

（1）在application.properties中添加mq信息

#mq的连接信息,可直接多host连接和单host连接
mq.rabbit.address=192.168.1.1:5672,192.168.1.2:5672
mq.rabbit.virtualHost=/
mq.rabbit.username=guest
mq.rabbit.password=guest
mq.rabbit.exchange.name=mq.direct

#创建queue的数量
mq.rabbit.size=2

#消费者数量
mq.concurrent.consumers=4

#每个消费者获取的最大的消息投递数量
mq.prefetch.count=100

（2）rabbitmqConfig工具类

@Configuration
public class RabbitConfig {

    @Value("${mq.rabbit.address}")
    String address;
    @Value("${mq.rabbit.username}")
    String username;
    @Value("${mq.rabbit.password}")
    String password;
    @Value("${mq.rabbit.virtualHost}")
    String mqRabbitVirtualHost;
    @Value("${mq.rabbit.exchange.name}")
    String exchangeName;
    @Value("${mq.rabbit.size}")

    int queueSize;

    @Value("${mq.concurrent.consumers}")
    int concurrentConsumers;
    @Value("${mq.prefetch.count}")
    int prefetchCount;

    //创建mq连接
    @Bean(name = "connectionFactory")
    public ConnectionFactory connectionFactory() {
        CachingConnectionFactory connectionFactory = new CachingConnectionFactory();

        connectionFactory.setUsername(username);
        connectionFactory.setPassword(password);
        connectionFactory.setVirtualHost(mqRabbitVirtualHost);

        connectionFactory.setPublisherConfirms(true);

        //该方法配置多个host，在当前连接host down掉的时候会自动去重连后面的host
        connectionFactory.setAddresses(address);
        return connectionFactory;
    }

   //监听处理类
    @Bean
    @Scope("prototype")
    public HandleService handleService() {
        return new HandleService();
    }

     //动态创建queue，命名为：hostName.queue1【192.168.1.1.queue1】,并返回数组queue名称
    @Bean
    public String[] mqMsgQueues() throws AmqpException, IOException {
        String[] queueNames = new String[queueSize];
        String hostName = OsUtil.getHostNameForLiunx();//获取hostName
        for (int i = 1; i <= queueSize; i  ) {
            String queueName = String.format("%s.queue%d", hostName, i);
            connectionFactory().createConnection().createChannel(false).queueDeclare(queueName, true, false, false, null);
            connectionFactory().createConnection().createChannel(false).queueBind(queueName, exchangeName, queueName);
            queueNames[i - 1] = queueName;
        }
        return queueNames;
    }

    //创建监听器，监听队列
    @Bean
    public SimpleMessageListenerContainer mqMessageContainer(HandleService handleService) throws AmqpException, IOException {
        SimpleMessageListenerContainer container = new SimpleMessageListenerContainer(connectionFactory());
        container.setQueueNames(mqMsgQueues());
        container.setExposeListenerChannel(true);
        container.setPrefetchCount(prefetchCount);//设置每个消费者获取的最大的消息数量
        container.setConcurrentConsumers(concurrentConsumers);//消费者个数
        container.setAcknowledgeMode(AcknowledgeMode.MANUAL);//设置确认模式为手工确认
        container.setMessageListener(handleService);//监听处理类
        return container;
    }

}

（3）消费者

@Service
public class HandleService implements ChannelAwareMessageListener {
    private static final Logger logger = LoggerFactory.getLogger(HandleService.class);

    /**
     * @param
     * 1、处理成功，这种时候用basicAck确认消息；
     * 2、可重试的处理失败，这时候用basicNack将消息重新入列；
     * 3、不可重试的处理失败，这时候使用basicNack将消息丢弃。
     *
     *  basicNack(long deliveryTag, boolean multiple, boolean requeue)
     *   deliveryTag:该消息的index
     *  multiple：是否批量.true:将一次性拒绝所有小于deliveryTag的消息。
     * requeue：被拒绝的是否重新入队列
     */
    @Override
    public void onMessage(Message message, Channel channel) throws Exception {
        byte[] body = message.getBody();
        logger.info("接收到消息:"   new String(body));
        JSONObject jsonObject = null;
        try {
            jsonObject = JSONObject.parseObject(new String(body));
            if (消费成功) {
               logger.info("消息消费成功");
               channel.basicAck(message.getMessagePropertites().getDeliveryTag(),false);//确认消息消费成功     
            }else if(可重试的失败处理){
                channel.basicNack(message.getMessageProperties().getDeliveryTag(), false, true);
          } else {          //消费失败             
               channel.basicNack(message.getMessageProperties().getDeliveryTag(), false, false);             
        } catch (JSONException e) {
            channel.basicNack(message.getMessageProperties().getDeliveryTag(), false, false);//消息丢弃
            logger.error("This message:"   jsonObject   " conversion JSON error ");
        }
    }

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