Spring AMQP-使用带有TTL的死信机制进行消息重新排队

Question

就像“ 休斯顿我们在这里有问题 ”一样，在第一次尝试处理事件失败后，我需要在5分钟内安排/延迟一条消息。 在这种情况下，我已经实现了死信交换。

失败后，消息将路由到DLX->重试队列，并在TTL为5分钟后再次返回工作队列，以进行另一次尝试。

这是我正在使用的配置：

public class RabbitMQConfig {
    @Bean(name = "work")
    @Primary
    Queue workQueue() {
        return new Queue(WORK_QUEUE, true, false, false, null);
    }

    @Bean(name = "workExchange")
    @Primary
    TopicExchange workExchange() {
        return new TopicExchange(WORK_EXCHANGE, true, false);
    }

    @Bean
    Binding workBinding(Queue queue, TopicExchange exchange) {
        return BindingBuilder.bind(workQueue()).to(workExchange()).with("#");
    }

    @Bean(name = "retryExchange")
    FanoutExchange retryExchange() {
        return new FanoutExchange(RETRY_EXCHANGE, true, false);
    }

    @Bean(name = "retry")
    Queue retryQueue() {
        Map<String, Object> args = new HashMap<String, Object>();
        args.put("x-dead-letter-exchange", WORK_EXCHANGE);
        args.put("x-message-ttl", RETRY_DELAY); //delay of 5 min
        return new Queue(RETRY_QUEUE, true, false, false, args);
    }

    @Bean
    Binding retryBinding(Queue queue,FanoutExchange exchange) {
        return BindingBuilder.bind(retryQueue()).to(retryExchange());
    }

    @Bean
    public SimpleRabbitListenerContainerFactory rabbitListenerContainerFactory(ConnectionFactory connectionFactory) {
        SimpleRabbitListenerContainerFactory factory = new SimpleRabbitListenerContainerFactory();
        factory.setConnectionFactory(connectionFactory);
        return factory;
    }

    @Bean
    Consumer receiver() {
        return new Consumer();
    }

    @Bean
    MessageListenerAdapter listenerAdapter(Consumer receiver) {
        return new MessageListenerAdapter(receiver, "receiveMessage");
    }
}

Producer.java：

@GetMapping(path = "/hello")
public String sayHello() {
    // Producer operation

        String messages[];
        messages = new String[] {" hello "};

    for (int i = 0; i < 5; i++) {
        String message = util.getMessage(messages)+i;

        rabbitTemplate.convertAndSend("WorkExchange","", message);
       System.out.println(" Sent '" + message + "'");
    }
    return "hello";
}

Consumer.java：

public class Consumer {

    @RabbitListener(queues = "WorkQueue")
    public void receiveMessage(String message, Channel channel,
            @Header(AmqpHeaders.DELIVERY_TAG) Long tag) throws IOException, InterruptedException {

        try {

            System.out.println("message to be processed: " + message);
            doWorkTwo(message);
            channel.basicAck(tag, false);

        } catch (Exception e) {
            System.out.println("In the exception catch block");
            System.out.println("message in dead letter exchange: " + message);
            channel.basicPublish("RetryExchange", "", null, message.getBytes());

        }

    }

    private void doWorkTwo(String task) throws InterruptedException {

        int c = 0;
        int b = 5;
        int d = b / c;

    }

}

这是对我的场景使用死信交换的正确方法，并且在RETRY QUEUE中等待一次5分钟之后，第二次尝试不等待RETRY QUEUE中的5分钟（我已经提到TTL为5分钟）并立即进入工作队列 。

我通过点击localhost：8080 / hello url运行此应用程序。

这是我更新的配置。

RabbitMQConfig.java：

@EnableRabbit
public class RabbitMQConfig {

    final static String WORK_QUEUE = "WorkQueue";
    final static String RETRY_QUEUE = "RetryQueue";
    final static String WORK_EXCHANGE = "WorkExchange"; // Dead Letter Exchange
    final static String RETRY_EXCHANGE = "RetryExchange";
    final static int RETRY_DELAY = 60000; // in ms (1 min)

    @Bean(name = "work")
    @Primary
    Queue workQueue() {
         Map<String, Object> args = new HashMap<String, Object>();
         args.put("x-dead-letter-exchange", RETRY_EXCHANGE);
        return new Queue(WORK_QUEUE, true, false, false, args);
    }

    @Bean(name = "workExchange")
    @Primary
    DirectExchange workExchange() {
        return new DirectExchange(WORK_EXCHANGE, true, false);
    }

    @Bean
    Binding workBinding(Queue queue, DirectExchange exchange) {
        return BindingBuilder.bind(workQueue()).to(workExchange()).with("");
    }

    @Bean(name = "retryExchange")
    DirectExchange retryExchange() {
        return new DirectExchange(RETRY_EXCHANGE, true, false);
    }

    // Messages will drop off RetryQueue into WorkExchange for re-processing
    // All messages in queue will expire at same rate
    @Bean(name = "retry")
    Queue retryQueue() {
        Map<String, Object> args = new HashMap<String, Object>();
        //args.put("x-dead-letter-exchange", WORK_EXCHANGE);
        //args.put("x-message-ttl", RETRY_DELAY);
        return new Queue(RETRY_QUEUE, true, false, false, null);
    }

    @Bean
    Binding retryBinding(Queue queue, DirectExchange exchange) {
        return BindingBuilder.bind(retryQueue()).to(retryExchange()).with("");
    }

    @Bean
    public SimpleRabbitListenerContainerFactory rabbitListenerContainerFactory(ConnectionFactory connectionFactory) {
        SimpleRabbitListenerContainerFactory factory = new SimpleRabbitListenerContainerFactory();
        factory.setConnectionFactory(connectionFactory);
        factory.setDefaultRequeueRejected(false);
        /*factory.setAdviceChain(new Advice[] {
                org.springframework.amqp.rabbit.config.RetryInterceptorBuilder
                        .stateless()
                        .maxAttempts(2).recoverer(new RejectAndDontRequeueRecoverer())
                        .backOffOptions(1000, 2, 5000)
                        .build()
        });*/
        return factory;
    }

    @Bean
    Consumer receiver() {
        return new Consumer();
    }

    @Bean
    MessageListenerAdapter listenerAdapter(Consumer receiver) {
        return new MessageListenerAdapter(receiver, "receiveMessage");
    }
}

Consumer.java：

public class Consumer {

    @RabbitListener(queues = "WorkQueue")
    public void receiveMessage(String message, Channel channel,
            @Header(AmqpHeaders.DELIVERY_TAG) Long tag,
            @Header(required = false, name = "x-death") HashMap<String, String> xDeath)
            throws IOException, InterruptedException {

        doWorkTwo(message);
        channel.basicAck(tag, false);
    }

    private void doWorkTwo(String task) {
        int c = 0;
        int b = 5;
        if (c < b) {
            throw new AmqpRejectAndDontRequeueException(task);
        }
    }
}

Answer 1

如果拒绝该消息，以便代理将其路由到DLQ，则可以检查x-death标头。 在这种情况下，我有一个TTL为5秒的DLQ，而来自主队列的消息的使用者拒绝了它。 代理将其路由到DLQ，然后到期，并路由回到主队列x-death标头显示了重新路由操作的次数：