RabbitMQ和kafka对于消费失败处理总结

Posted

tags:

篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了RabbitMQ和kafka对于消费失败处理总结相关的知识,希望对你有一定的参考价值。

参考技术A 参考: https://www.jianshu.com/p/7a6deaba34d2

参考: https://my.oschina.net/dengfuwei/blog/1595047

失败重发参考: https://www.cnblogs.com/xujishou/p/6288623.html

confirm模式 重发消息,生成CorrelationData,重新发送

发送消息时,消息发送成功,业务失败。业务成功消息发送失败?
保证业务处理成功后发送消息,发送失败一直重试发送消息。

kafka: https://github.com/huangxiongbiao12/kafka.git
rabbitmq: https://github.com/huangxiongbiao12/rabbitmq-demo.git

rabbitmq消费端的nack和重回队列的总结

 重回队列模式,是当投递消息失败时,让该消息重新回到队列的模式,该模式需要手动签收,并需要在消费者中进行判断,调用重回队列的确认模式

消费者

package com.flying.rabbitmq.api.ack;

import com.rabbitmq.client.Channel;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;

public class Consumer 

    
    public static void main(String[] args) throws Exception 
        
        
        ConnectionFactory connectionFactory = new ConnectionFactory();
        connectionFactory.setHost("127.0.0.1");
        connectionFactory.setPort(5672);
        connectionFactory.setVirtualHost("/");
        
        Connection connection = connectionFactory.newConnection();
        Channel channel = connection.createChannel();
        
        
        String exchangeName = "test_ack_exchange";
        String queueName = "test_ack_queue";
        String routingKey = "ack.#";
        
        channel.exchangeDeclare(exchangeName, "topic", true, false, null);
        channel.queueDeclare(queueName, true, false, false, null);
        channel.queueBind(queueName, exchangeName, routingKey);
        
        // 手工签收 必须要关闭 autoAck = false
        channel.basicConsume(queueName, false, new MyConsumer(channel));
        
        
    

自定义消费者:

package com.flying.rabbitmq.api.ack;

import com.rabbitmq.client.AMQP;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.DefaultConsumer;
import com.rabbitmq.client.Envelope;

import java.io.IOException;

public class MyConsumer extends DefaultConsumer 


    private Channel channel ;
    
    public MyConsumer(Channel channel) 
        super(channel);
        this.channel = channel;
    

    @Override
    public void handleDelivery(String consumerTag, Envelope envelope, AMQP.BasicProperties properties, byte[] body) throws IOException 
        System.err.println("-----------consume message----------");
        System.err.println("body: " + new String(body));
        try 
            Thread.sleep(2000);
         catch (InterruptedException e) 
            e.printStackTrace();
        
        if((Integer)properties.getHeaders().get("num") == 0) 
            channel.basicNack(envelope.getDeliveryTag(), false, true);
         else 
            channel.basicAck(envelope.getDeliveryTag(), false);
        
        
    


生产者:

package com.flying.rabbitmq.api.ack;

import com.rabbitmq.client.AMQP;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;

import java.util.HashMap;
import java.util.Map;

public class Producer 

    
    public static void main(String[] args) throws Exception 
        
        ConnectionFactory connectionFactory = new ConnectionFactory();
        connectionFactory.setHost("127.0.0.1");
        connectionFactory.setPort(5672);
        connectionFactory.setVirtualHost("/");
        
        Connection connection = connectionFactory.newConnection();
        Channel channel = connection.createChannel();
        
        String exchange = "test_ack_exchange";
        String routingKey = "ack.save";
        
        
        
        for(int i =0; i<5; i ++)
            
            Map<String, Object> headers = new HashMap<String, Object>();
            headers.put("num", i);
            
            AMQP.BasicProperties properties = new AMQP.BasicProperties.Builder()
                    .deliveryMode(2)
                    .contentEncoding("UTF-8")
                    .headers(headers)
                    .build();
            String msg = "Hello RabbitMQ ACK Message " + i;
            channel.basicPublish(exchange, routingKey, true, properties, msg.getBytes());
        
        
    

 

以上是关于RabbitMQ和kafka对于消费失败处理总结的主要内容,如果未能解决你的问题,请参考以下文章

rabbitmqreject次数

Spring Cloud Stream消费失败后的处理策略:使用DLQ队列(RabbitMQ)

总结kafka的consumer消费能力很低的情况下的处理方案

RabbitMQ和Kafka对比,总结了以下几个点

rabbitmq消费端的nack和重回队列的总结

rabbitmq和kafka的区别