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SpringBoot整合RabbitMQ消息队列的完整步骤

作者:JackHorse

这篇文章主要给大家介绍了关于SpringBoot整合RabbitMQ消息队列的相关资料,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学习学习吧

SpringBoot整合RabbitMQ

主要实现RabbitMQ以下三种消息队列:

公共资源

1. 引入pom依赖

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

2. 配置yml文件

基于上篇《RabbitMQ安装与配置》实现的情况下,进行基础配置。

spring:
  rabbitmq:
    host: 121.5.168.31
    port: 5672    # 默认可省略
    virtual-host: /*** # 虚拟主机
    username: *** # 用户名
    password: *** # 用户密码
    # 开启投递成功回调 P -> Exchange
    publisher-confirm-type: correlated
    # 开启投递消息到队列失败回调 Exchange -> Queue
    publisher-returns: true
    # 开启手动ACK确认模式 Queue -> C
    listener:
      simple:
        acknowledge-mode: manual # 代表手动ACK确认
        # 一些基本参数的设置
        concurrency: 3
        prefetch: 15
        retry:
          enabled: true
          max-attempts: 5
        max-concurrency: 10

3. 公共Constants类

/**
 * @author Mr.Horse
 * @version 1.0
 * @description: {description}
 * @date 2021/4/23 15:28
 */

public class Constants {

    /**
     * 第一个配置Queue,Exchange,Key(非注解方式)
     */
    public final static String HORSE_SIMPLE_QUEUE = "HORSE_SIMPLE_QUEUE";
    public final static String HORSE_SIMPLE_EXCHANGE = "HORSE_SIMPLE_EXCHANGE";
    public final static String HORSE_SIMPLE_KEY = "HORSE_SIMPLE_KEY";

    /**
     * 第二个配置Queue,Exchange,Key(注解方式)
     */
    public final static String HORSE_ANNOTATION_QUEUE = "HORSE_ANNOTATION_QUEUE";
    public final static String HORSE_ANNOTATION_EXCHANGE = "HORSE_ANNOTATION_EXCHANGE";
    public final static String HORSE_ANNOTATION_KEY = "HORSE_ANNOTATION_KEY";


    //************************************延时消息队列配置信息**************************
    /**
     * 延时队列信息配置
     */
    public final static String HORSE_DELAY_EXCHANGE = "HORSE_DELAY_EXCHANGE";
    public final static String HORSE_DELAY_QUEUE = "HORSE_DELAY_QUEUE";
    public final static String HORSE_DELAY_KEY = "HORSE_DELAY_KEY";

    /**
     * 死信队列
     */
    public final static String HORSE_DEAD_EXCHANGE = "HORSE_DEAD_EXCHANGE";
    public final static String HORSE_DEAD_QUEUE = "HORSE_DEAD_QUEUE";
    public final static String HORSE_DEAD_KEY = "HORSE_DEAD_KEY";

    //**************************************延时消息队列配置信息(插件版)******************************
    /**
     * 新延时队列信息配置
     */
    public final static String HORSE_PLUGIN_EXCHANGE = "HORSE_PLUGIN_EXCHANGE";
    public final static String HORSE_PLUGIN_QUEUE = "HORSE_PLUGIN_QUEUE";
    public final static String HORSE_PLUGIN_KEY = "HORSE_PLUGIN_KEY";

}

简单消息队列(direct模式)

4. RabbitTemplate模板配置

主要定义消息投递Exchange成功回调函数和消息从Exchange投递到消息队列失败的回调函数。

package com.topsun.rabbit;

import com.sun.org.apache.xpath.internal.operations.Bool;
import com.topsun.constants.Constants;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.amqp.core.*;
import org.springframework.amqp.rabbit.connection.CachingConnectionFactory;
import org.springframework.amqp.rabbit.core.RabbitTemplate;
import org.springframework.amqp.support.converter.Jackson2JsonMessageConverter;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

/**
 * @author Mr.Horse
 * @version 1.0
 * @description: {description}
 * @date 2021/4/23 14:17
 */
@Configuration
public class RabbitConfig {

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


    @Autowired
    private CachingConnectionFactory connectionFactory;

    /**
     * @return
     */
    @Bean
    public RabbitTemplate rabbitTemplate() {
        RabbitTemplate rabbitTemplate = new RabbitTemplate(connectionFactory);
        // 触发setReturnCallback回调必须设置mandatory=true,否则Exchange没有找到Queue就会丢弃掉消息, 而不会触发回调
        rabbitTemplate.setMandatory(Boolean.TRUE);
        // 设置序列化机制
        rabbitTemplate.setMessageConverter(new Jackson2JsonMessageConverter());
        // 消息由投递到Exchange中时触发的回调
        rabbitTemplate.setConfirmCallback((correlationData, ack, cause) ->
                logger.info("消息发送到Exchange情况反馈:唯一标识:correlationData={},消息确认:ack={},原因:cause={}",
                        correlationData, ack, cause)
        );
        // 消息由Exchange发送到Queue时失败触发的回调
        rabbitTemplate.setReturnsCallback((returnedMessage) -> {
            // 如果是插件形式实现的延时队列,则直接返回
            // 原因: 因为发送方确实没有投递到队列上,只是在交换器上暂存,等过期时间到了 才会发往队列,从而实现延时队列的操作
            if (Constants.HORSE_PLUGIN_EXCHANGE.equals(returnedMessage.getExchange())) {
                return;
            }
            logger.warn("消息由Exchange发送到Queue时失败:message={},replyCode={},replyText={},exchange={},rountingKey={}",
                    returnedMessage.getMessage(), returnedMessage.getReplyText(), returnedMessage.getReplyText(),
                    returnedMessage.getExchange(), returnedMessage.getRoutingKey());
        });
        return rabbitTemplate;
    }

    //*******************************************直接配置绑定关系*****************************************
    /**
     * 声明队列
     *
     * @return
     */
    @Bean
    public Queue horseQueue() {
        return new Queue(Constants.HORSE_SIMPLE_QUEUE, Boolean.TRUE);
    }

    /**
     * 声明指定模式交换机
     *
     * @return
     */
    @Bean
    public DirectExchange horseExchange() {
        return new DirectExchange(Constants.HORSE_SIMPLE_EXCHANGE, Boolean.TRUE, Boolean.FALSE);
    }

    /**
     * 绑定交换机,队列,路由Key
     *
     * @return
     */
    @Bean
    public Binding horseBinding() {
        return BindingBuilder.bind(horseQueue()).to(horseExchange()).with(Constants.HORSE_SIMPLE_KEY);
    }

}

5. 定义消息监听器

基于 @RabbitListenerzi注解,实现自定义消息监听器。主要有两种实现方式:

package com.topsun.rabbit;

import com.rabbitmq.client.Channel;
import com.topsun.constants.Constants;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.amqp.core.Message;
import org.springframework.amqp.rabbit.annotation.Exchange;
import org.springframework.amqp.rabbit.annotation.Queue;
import org.springframework.amqp.rabbit.annotation.QueueBinding;
import org.springframework.amqp.rabbit.annotation.RabbitListener;
import org.springframework.stereotype.Component;

import java.io.IOException;

/**
 * @author Mr.Horse
 * @version 1.0
 * @description: {description}
 * @date 2021/4/23 14:58
 */

@Component
public class MsgListener {

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

    /**
     * 配置类中已经完成绑定,这里直接根据队列值接收
     *
     * @param message
     * @param channel
     * @param msg
     */
    @RabbitListenerzi(queues = Constants.HORSE_SIMPLE_QUEUE)
    public void customListener(Message message, Channel channel, String msg) {
        // 获取每条消息唯一标识(用于手动ACK确认)
        long tag = message.getMessageProperties().getDeliveryTag();
        try {
            logger.info(" ==> customListener接收" + msg);
            // 手动ACK确认
            channel.basicAck(tag, false);
        } catch (IOException e) {
            logger.error(" ==> 消息接收失败: {}", tag);
        }
    }

    /**
     * 根据注解的形式进行绑定接收
     *
     * @param message
     * @param channel
     * @param msg
     */
    @RabbitListener(bindings = @QueueBinding(
            value = @Queue(value = Constants.HORSE_ANNOTATION_QUEUE, durable = "true"),
            exchange = @Exchange(value = Constants.HORSE_ANNOTATION_EXCHANGE, ignoreDeclarationExceptions = "true"),
            key = {Constants.HORSE_ANNOTATION_KEY}
    ))
    public void annotationListener(Message message, Channel channel, String msg) {
        // 获取每条消息唯一标识(用于手动ACK确认)
        long tag = message.getMessageProperties().getDeliveryTag();
        try {
            logger.info(" ==> annotationListener接收" + msg);
            // 手动ACK确认
            channel.basicAck(tag, false);
        } catch (IOException e) {
            logger.error(" ==> 消息接收失败: {}", tag);
        }
    }

}


6. 测试接口

这里发送100条消息:

@GetMapping("/rabbit")
    public void sendMsg() {
        for (int i = 1; i <= 100; i++) {
            String msg = "第" + i + "条消息";
            logger.info("==> 发送" + msg);
            if (i % 2 == 1) {
                rabbitTemplate.convertAndSend(Constants.HORSE_SIMPLE_EXCHANGE, Constants.HORSE_SIMPLE_KEY, msg, new CorrelationData(String.valueOf(i)));
            } else {
                rabbitTemplate.convertAndSend(Constants.HORSE_ANNOTATION_EXCHANGE, Constants.HORSE_ANNOTATION_KEY, msg, new CorrelationData(String.valueOf(i)));
            }
        }
    }

结果:自行测试过,非常成功:smile::smile::smile:

延时消息队列

原理:生产者生产一条延时消息,根据需要延时时间的不同,利用不同的routingkey将消息路由到不同的延时队列,每个队列都设置了不同的TTL属性,并绑定在同一个死信交换机中,消息过期后,根据routingkey的不同,又会被路由到不同的死信队列中,消费者只需要监听对应的死信队列进行处理即可。

7. 配置绑定相关信息

/**
 * @author Mr.Horse
 * @version 1.0
 * @description: {description}
 * @date 2021/4/24 14:22
 */

@Configuration
public class DelayRabbitConfig {

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

    /**
     * 声明延时队列交换机
     *
     * @return
     */
    @Bean
    public DirectExchange delayExchange() {
        return new DirectExchange(Constants.HORSE_DELAY_EXCHANGE, Boolean.TRUE, Boolean.FALSE);
    }

    /**
     * 声明死信队列交换机
     *
     * @return
     */
    @Bean
    public DirectExchange deadExchange() {
        return new DirectExchange(Constants.HORSE_DEAD_EXCHANGE, Boolean.TRUE, Boolean.FALSE);
    }

    /**
     * 声明延时队列 延时10s(单位:ms),并将延时队列绑定到对应的死信交换机和路由Key
     *
     * @return
     */
    @Bean
    public Queue delayQueue() {
        Map<String, Object> args = new HashMap<>(3);
        // x-dead-letter-exchange    这里声明当前队列绑定的死信交换机
        args.put("x-dead-letter-exchange", Constants.HORSE_DEAD_EXCHANGE);
        // x-dead-letter-routing-key  这里声明当前队列的死信路由key
        args.put("x-dead-letter-routing-key", Constants.HORSE_DEAD_KEY);
        // x-message-ttl  声明队列的TTL(过期时间)
        // 可以在这里直接写死,也可以进行动态的设置(推荐动态设置)
        // args.put("x-message-ttl", 10000);
        return QueueBuilder.durable(Constants.HORSE_DELAY_QUEUE).withArguments(args).build();
    }

    /**
     * 声明死信队列
     *
     * @return
     */
    @Bean
    public Queue deadQueue() {
        return new Queue(Constants.HORSE_DEAD_QUEUE, Boolean.TRUE);
    }


    /**
     * 延时队列绑定管理
     *
     * @return
     */
    @Bean
    public Binding delayBinding() {
        return BindingBuilder.bind(delayQueue()).to(delayExchange()).with(Constants.HORSE_DELAY_KEY);
    }

    /**
     * 死信队列绑定管理
     *
     * @return
     */
    @Bean
    public Binding deadBinding() {
        return BindingBuilder.bind(deadQueue()).to(deadExchange()).with(Constants.HORSE_DEAD_KEY);
    }

    //**********************************延时消息队列配置信息(插件版)************************************

    @Bean
    public Queue pluginQueue() {
        return new Queue(Constants.HORSE_PLUGIN_QUEUE);
    }

   /**
     * 设置延时队列的交换机,必须是 CustomExchange 类型交换机
     * 参数必须,不能改变
     * @return
     */
    @Bean
    public CustomExchange customPluginExchange() {
        Map<String, Object> args = new HashMap<>(2);
        args.put("x-delayed-type", "direct");
        return new CustomExchange(Constants.HORSE_PLUGIN_EXCHANGE, "x-delayed-message", Boolean.TRUE, Boolean.FALSE, args);
    }

    @Bean
    public Binding pluginBinding() {
        return BindingBuilder.bind(pluginQueue()).to(customPluginExchange()).with(Constants.HORSE_PLUGIN_KEY).noargs();
    }

}

8. 定义延时监听器

/**
 * @author Mr.Horse
 * @version 1.0
 * @description: {description}
 * @date 2021/4/24 14:51
 */
@Component
public class DelayMsgListener {

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


    /**
     * 监听死信队列
     *
     * @param message
     * @param channel
     * @param msg
     */
    @RabbitListener(queues = Constants.HORSE_DEAD_QUEUE)
    public void consumeDeadListener(Message message, Channel channel, String msg) {
        long tag = message.getMessageProperties().getDeliveryTag();
        try {
            logger.info(" ==> consumeDeadListener接收" + msg);
            // 手动ACK确认
            channel.basicAck(tag, false);
        } catch (IOException e) {
            logger.error(" ==> 消息接收失败: {}", tag);
        }
    }

    /**
     * 监听延时队列(插件版)
     *
     * @param message
     * @param channel
     * @param msg
     */
    @RabbitListener(queues = Constants.HORSE_PLUGIN_QUEUE)
    public void consumePluginListener(Message message, Channel channel, String msg) {
        long tag = message.getMessageProperties().getDeliveryTag();
        try {
            logger.info(" ==> consumePluginListener" + msg);
            // 手动ACK确认
            channel.basicAck(tag, false);
        } catch (IOException e) {
            logger.error(" ==> 消息接收失败: {}", tag);
        }
    }

}

9. 测试接口

   // 基于特性的延时队列
	@GetMapping("/delay/rabbit")
    public void delayMsg(@RequestParam("expire") Long expire) {
        for (int i = 1; i <= 10; i++) {
            String msg = "第" + i + "条消息";
            logger.info("==> 发送" + msg);
            // 这里可以动态的设置过期时间
            rabbitTemplate.convertAndSend(Constants.HORSE_DELAY_EXCHANGE, Constants.HORSE_DELAY_KEY, msg,
                    message -> {
                        message.getMessageProperties().setExpiration(String.valueOf(expire));
                        return message;
                    },
                    new CorrelationData(String.valueOf(i)));
        }
    }

	// 基于插件的延时队列
    @GetMapping("/delay/plugin")
    public void delayPluginMsg(@RequestParam("expire") Integer expire) {
        for (int i = 1; i <= 10; i++) {
            String msg = "第" + i + "条消息";
            logger.info("==> 发送" + msg);
            // 动态设置过期时间
            rabbitTemplate.convertAndSend(Constants.HORSE_PLUGIN_EXCHANGE, Constants.HORSE_PLUGIN_KEY, msg, message -> {
                message.getMessageProperties().setDeliveryMode(MessageDeliveryMode.PERSISTENT);
                message.getMessageProperties().setDelay(expire);
                return message;
            }, new CorrelationData(String.valueOf(i)));

        }
    }

结果:你懂的:scream_cat::scream_cat::scream_cat:

RabbitMQ的基础使用演示到此结束。

总结

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