RabbitMQ的应用

七种工作模式介绍

1.Simple(简单模式)

P：生产者，也就是要发送信息的程序

C：消费者，消息的接收者

Queue：消息队列。图中黄色背景部分，类似一个邮箱，可以缓存发送信息；生产者向其中投递信息，消费者从其中取出消息

特点：一个生产者P，一个消费者C，消息只能被消费一次，就被称为点对点模式

2.Work Queue(工作队列)

一个生产者P，多个消费者C1，C2.在多个消息的情况下，Work Queue会将消息分配给不同的消费者，每个消费者都会接收到不同的消息.

特点：消息不会重复，分配给不同的消费者.

适用场景：集群环境种做异步处理

比如12306的短信通知服务，订票成功后，订单消息会发送到RabbitMQ，短信服务从RabbitMQ获取订单信息，并发送不同的通知信息给消费者.

生产者代码

import java.io.IOException;
import java.util.concurrent.TimeoutException;

public class Producer {
    public static void main(String[] args) throws IOException, TimeoutException {
        //1.建立连接工厂
        ConnectionFactory factory = new ConnectionFactory();
        //设置参数
        factory.setHost(Constants.HOST);//ip
        factory.setPort(Constants.PORT);
        factory.setVirtualHost(Constants.VIRTUAL_HOST);//虚拟机名称
        factory.setUsername(Constants.USER_NAME);//用户名
        factory.setPassword(Constants.PASSWORD);//密码
        //创建连接Connection
        Connection connection = factory.newConnection();
        //2.创建channel通道
        Channel channel = connection.createChannel();
        //3.声明队列
        channel.queueDeclare(Constants.WORK_QUEUE,true,false,false,null);
        //4.发送消息
        for(int i=0;i<10;i++){
            String msg = "hello,work queue~"+i;
            channel.basicPublish("",Constants.WORK_QUEUE,null,msg.getBytes());
        }
        //5.资源释放
        channel.close();
        connection.close();
    }
}

消费者代码，不过是两个消费者

package rabbitmq.work;

import com.rabbitmq.client.*;
import rabbitmq.constant.Constants;

import java.io.IOException;
import java.util.concurrent.TimeoutException;

public class Consumer1 {
    public static void main(String[] args) throws IOException, TimeoutException {
        //1. 建立连接
        ConnectionFactory connectionFactory = new ConnectionFactory();
        connectionFactory.setHost(Constants.HOST);
        connectionFactory.setPort(Constants.PORT); //需要提前开放端口号
        connectionFactory.setUsername(Constants.USER_NAME);//账号
        connectionFactory.setPassword(Constants.PASSWORD);  //密码
        connectionFactory.setVirtualHost(Constants.VIRTUAL_HOST); //虚拟主机
        Connection connection = connectionFactory.newConnection();
        //2. 开启信道
        Channel channel = connection.createChannel();
        //3. 声明队列   使用内置的交换机
        //如果队列不存在, 则创建, 如果队列存在, 则不创建
        channel.queueDeclare(Constants.WORK_QUEUE, true, false, false, null);
        //4. 消费消息
        DefaultConsumer consumer = new DefaultConsumer(channel){
            //从队列中收到消息, 就会执行的方法
            @Override
            public void handleDelivery(String consumerTag, Envelope envelope, AMQP.BasicProperties properties, byte[] body) throws IOException {
                System.out.println("接收到消息:"+ new String(body));
            }
        };
        channel.basicConsume(Constants.WORK_QUEUE, true, consumer);

        //6. 资源释放
//        channel.close();
//        connection.close();
    }
}

启动两个消费者跟生产者可以观察到

此时队列里就有两个消费者。

3.Publish/Subscribe(发布/订阅)

在这个模式种出现了一个Exchange的角色
作⽤: ⽣产者将消息发送到Exchange, 由交换机将消息按⼀定规则路由到⼀个或多个队列中(上图中⽣产
者将消息投递到队列中, 实际上这个在RabbitMQ中不会发⽣. )
RabbitMQ交换机有四种类型: fanout,direct, topic, headers, 不同类型有着不同的路由策略. AMQP协议⾥还有另外两种类型, System和⾃定义, 此处不再描述.

1. Fanout:⼴播，将消息交给所有绑定到交换机的队列( Publish/Subscribe模式)
2. Direct:定向，把消息交给符合指定routing key的队列( Routing模式 )
3. Topic:通配符，把消息交给符合routing pattern(路由模式)的队列( Topics模式 )
4. headers类型的交换器不依赖于路由键的匹配规则来路由消息, ⽽是根据发送的消息内容中的
   headers属性进⾏匹配. headers类型的交换器性能会很差,⽽且也不实⽤,基本上不会看到它的存在.
   Exchange(交换机）只负责转发消息, 不具备存储消息的能⼒, 因此如果没有任何队列与Exchange绑定，或者没有符合路由规则的队列，那么消息就会丢失

生产者代码

package rabbitmq.fanout;

import com.rabbitmq.client.BuiltinExchangeType;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;
import rabbitmq.constant.Constants;

import java.io.IOException;
import java.util.concurrent.TimeoutException;

public class Producer {
    public static void main(String[] args) throws IOException, TimeoutException {
        //1. 建立连接
        ConnectionFactory connectionFactory = new ConnectionFactory();
        connectionFactory.setHost(Constants.HOST);
        connectionFactory.setPort(Constants.PORT); //需要提前开放端口号
        connectionFactory.setUsername(Constants.USER_NAME);//账号
        connectionFactory.setPassword(Constants.PASSWORD);  //密码
        connectionFactory.setVirtualHost(Constants.VIRTUAL_HOST); //虚拟主机
        Connection connection = connectionFactory.newConnection();
        //2. 开启信道
        Channel channel = connection.createChannel();
        //3.声明交换机
        channel.exchangeDeclare(Constants.FANOUT_EXCHANGE, BuiltinExchangeType.FANOUT,true);
        //4.声明队列
        channel.queueDeclare(Constants.FANOUT_QUEUE1,true,false,false,null);
        channel.queueDeclare(Constants.FANOUT_QUEUE2,true,false,false,null);
        //5.绑定交换机和队列
        channel.queueBind(Constants.FANOUT_QUEUE1,Constants.FANOUT_EXCHANGE,"");
        channel.queueBind(Constants.FANOUT_QUEUE2,Constants.FANOUT_EXCHANGE,"");
        //6.发布消息
        String msg = "hello fanout....";
        channel.basicPublish(Constants.FANOUT_EXCHANGE,"", null, msg.getBytes());
        System.out.println("消息发送成功");
        //7.释放资源
        channel.close();
        connection.close();
    }
}

消费者代码(有两个消费者)

package rabbitmq.fanout;

import com.rabbitmq.client.*;
import rabbitmq.constant.Constants;

import java.io.IOException;
import java.util.concurrent.TimeoutException;

public class Consumer1 {
    public static void main(String[] args) throws IOException, TimeoutException {
        //1. 建立连接
        ConnectionFactory connectionFactory = new ConnectionFactory();
        connectionFactory.setHost(Constants.HOST);
        connectionFactory.setPort(Constants.PORT); //需要提前开放端口号
        connectionFactory.setUsername(Constants.USER_NAME);//账号
        connectionFactory.setPassword(Constants.PASSWORD);  //密码
        connectionFactory.setVirtualHost(Constants.VIRTUAL_HOST); //虚拟主机
        Connection connection = connectionFactory.newConnection();
        //2. 开启信道
        Channel channel = connection.createChannel();
        //3.声明队列
        channel.queueDeclare(Constants.FANOUT_QUEUE1,true,false,false,null);
        //4.消费消息
        DefaultConsumer consumer = new DefaultConsumer(channel){
            //从队列中收到消息, 就会执行的方法
            @Override
            public void handleDelivery(String consumerTag, Envelope envelope, AMQP.BasicProperties properties, byte[] body) throws IOException {
                System.out.println("接收到消息:"+ new String(body));
            }
        };
        channel.basicConsume(Constants.FANOUT_QUEUE1,true,consumer);
    }
}

运行生产者代码可以看到

两个队列分别有一条信息，同时Exchange跟多个队列绑定关系

此时运行消费者

两个消费者都收到信息

4.路由模式

队列和交换机的绑定, 不能是任意的绑定了, ⽽是要指定⼀个BindingKey(RoutingKey的⼀种)
消息的发送⽅在向Exchange发送消息时, 也需要指定消息的RoutingKey
Exchange也不再把消息交给每⼀个绑定的key, ⽽是根据消息的RoutingKey进⾏判断, 只有队列绑定时的BindingKey和发送消息的RoutingKey 完全⼀致, 才会接收到消息
生产者代码

package rabbitmq.direct;
import com.rabbitmq.client.BuiltinExchangeType;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;
import rabbitmq.constant.Constants;

import java.io.IOException;
import java.util.concurrent.TimeoutException;
public class Producer {
    public static void main(String[] args) throws IOException, TimeoutException {
        //1. 建立连接
        ConnectionFactory connectionFactory = new ConnectionFactory();
        connectionFactory.setHost(Constants.HOST);
        connectionFactory.setPort(Constants.PORT); //需要提前开放端口号
        connectionFactory.setUsername(Constants.USER_NAME);//账号
        connectionFactory.setPassword(Constants.PASSWORD);  //密码
        connectionFactory.setVirtualHost(Constants.VIRTUAL_HOST); //虚拟主机
        Connection connection = connectionFactory.newConnection();
        //2. 开启信道
        Channel channel = connection.createChannel();
        //3. 声明交换机
        channel.exchangeDeclare(Constants.DIRECT_EXCHANGE, BuiltinExchangeType.DIRECT, true);
        //4. 声明队列
        channel.queueDeclare(Constants.DIRECT_QUEUE1, true, false, false, null);
        channel.queueDeclare(Constants.DIRECT_QUEUE2, true, false, false, null);
        //5. 绑定交换机和队列
        channel.queueBind(Constants.DIRECT_QUEUE1, Constants.DIRECT_EXCHANGE, "a");
        channel.queueBind(Constants.DIRECT_QUEUE2, Constants.DIRECT_EXCHANGE, "a");
        channel.queueBind(Constants.DIRECT_QUEUE2, Constants.DIRECT_EXCHANGE, "b");
        channel.queueBind(Constants.DIRECT_QUEUE2, Constants.DIRECT_EXCHANGE, "c");
        //6. 发送消息
        String msg = "hello direct, my routingkey is a....";
        channel.basicPublish(Constants.DIRECT_EXCHANGE,"a", null, msg.getBytes());

        String msg_b = "hello direct, my routingkey is b....";
        channel.basicPublish(Constants.DIRECT_EXCHANGE,"b", null, msg_b.getBytes());

        String msg_c = "hello direct, my routingkey is c....";
        channel.basicPublish(Constants.DIRECT_EXCHANGE,"c", null, msg_c.getBytes());
        System.out.println("消息发送成功");

        //7. 释放资源
        channel.close();
        connection.close();
    }
}

消费者代码

package rabbitmq.direct;
import com.rabbitmq.client.*;
import rabbitmq.constant.Constants;

import java.io.IOException;
import java.util.concurrent.TimeoutException;
public class Consumer1 {
    public static void main(String[] args) throws IOException, TimeoutException {
        //1. 建立连接
        ConnectionFactory connectionFactory = new ConnectionFactory();
        connectionFactory.setHost(Constants.HOST);
        connectionFactory.setPort(Constants.PORT); //需要提前开放端口号
        connectionFactory.setUsername(Constants.USER_NAME);//账号
        connectionFactory.setPassword(Constants.PASSWORD);  //密码
        connectionFactory.setVirtualHost(Constants.VIRTUAL_HOST); //虚拟主机
        Connection connection = connectionFactory.newConnection();
        //2. 开启信道
        Channel channel = connection.createChannel();
        //3. 声明队列
        channel.queueDeclare(Constants.DIRECT_QUEUE1,true,false,false,null);
        //4. 消费消息
        DefaultConsumer consumer = new DefaultConsumer(channel){
            //从队列中收到消息, 就会执行的方法
            @Override
            public void handleDelivery(String consumerTag, Envelope envelope, AMQP.BasicProperties properties, byte[] body) throws IOException {
                System.out.println("接收到消息:"+ new String(body));
            }
        };
        channel.basicConsume(Constants.DIRECT_QUEUE1, true, consumer);

    }
}

运行代码可以看到队列2有三条消息，队列1有一条消息

5.Topics(通配符模式)

在topic类型的交换机在匹配规则上, 有些要求:

1. RoutingKey 是⼀系列由点( . )分隔的单词, ⽐如 " stock.usd.nyse ", " nyse.vmw ",
   " quick.orange.rabbit "
2. BindingKey 和RoutingKey⼀样, 也是点( . )分割的字符串.
3. Binding Key中可以存在两种特殊字符串, ⽤于模糊匹配
   ◦ * 表⽰⼀个单词
   ◦ # 表⽰多个单词(0-N个

6.RPC通信

RPC(Remote Procedure Call), 即远程过程调⽤. 它是⼀种通过⽹络从远程计算机上请求服务, ⽽不需要
了解底层⽹络的技术. 类似于Http远程调⽤.
RabbitMQ实现RPC通信的过程, ⼤概是通过两个队列实现⼀个可回调的过程.
⼤概流程如下:

1. 客⼾端发送消息到⼀个指定的队列, 并在消息属性中设置replyTo字段, 这个字段指定了⼀个回调队列, 服务端处理后, 会把响应结果发送到这个队列.
2. 服务端接收到请求后, 处理请求并发送响应消息到replyTo指定的回调队列
3. 客⼾端在回调队列上等待响应消息. ⼀旦收到响应，客⼾端会检查消息的correlationId属性，以确保它是所期望的响应.
   编写客户端代码
4. 声明两个队列, 包含回调队列replyQueueName, 声明本次请求的唯⼀标志corrId
5. 将replyQueueName和corrId配置到要发送的消息队列中
6. 使⽤阻塞队列来阻塞当前进程, 监听回调队列中的消息, 把请求放到阻塞队列中
7. 阻塞队列有消息后, 主线程被唤醒，打印返回内容

package rabbitmq.rpc;
import com.rabbitmq.client.*;
import rabbitmq.constant.Constants;

import java.io.IOException;
import java.util.UUID;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.TimeoutException;
public class RpcClient {
    public static void main(String[] args) throws IOException, TimeoutException, InterruptedException {
        //1. 建立连接
        ConnectionFactory connectionFactory = new ConnectionFactory();
        connectionFactory.setHost(Constants.HOST);
        connectionFactory.setPort(Constants.PORT); //需要提前开放端口号
        connectionFactory.setUsername(Constants.USER_NAME);//账号
        connectionFactory.setPassword(Constants.PASSWORD);  //密码
        connectionFactory.setVirtualHost(Constants.VIRTUAL_HOST); //虚拟主机
        Connection connection = connectionFactory.newConnection();
        //2. 开启信道
        Channel channel = connection.createChannel();
        channel.queueDeclare(Constants.RPC_REQUEST_QUEUE, true, false, false, null);
        channel.queueDeclare(Constants.RPC_RESPONSE_QUEUE, true, false, false, null);
        //3. 发送请求
        String msg = "hello rpc...";
        //设置请求的唯一标识
        String correlationID = UUID.randomUUID().toString();
        //设置请求的相关属性
        AMQP.BasicProperties props = new AMQP.BasicProperties().builder()
                .correlationId(correlationID)
                .replyTo(Constants.RPC_RESPONSE_QUEUE)
                .build();
        channel.basicPublish("", Constants.RPC_REQUEST_QUEUE, props, msg.getBytes());

        //4. 接收响应
        //使用阻塞队列, 来存储响应信息
        final BlockingQueue<String> response = new ArrayBlockingQueue<>(1);
        DefaultConsumer consumer = new DefaultConsumer(channel){
            @Override
            public void handleDelivery(String consumerTag, Envelope envelope, AMQP.BasicProperties properties, byte[] body) throws IOException {
                String respMsg = new String(body);
                System.out.println("接收到回调消息: "+ respMsg);
                if (correlationID.equals(properties.getCorrelationId())){
                    //如果correlationID校验一致
                    response.offer(respMsg);
                }
            }
        };
        channel.basicConsume(Constants.RPC_RESPONSE_QUEUE, true, consumer);
        String result = response.take();
        System.out.println("[RPC Client 响应结果]:"+ result);

    }
}

服务端代码

package rabbitmq.rpc;
import com.rabbitmq.client.*;
import rabbitmq.constant.Constants;

import java.io.IOException;
import java.util.concurrent.TimeoutException;

public class RpcServer {
    public static void main(String[] args) throws IOException, TimeoutException {
        //1. 建立连接
        ConnectionFactory connectionFactory = new ConnectionFactory();
        connectionFactory.setHost(Constants.HOST);
        connectionFactory.setPort(Constants.PORT); //需要提前开放端口号
        connectionFactory.setUsername(Constants.USER_NAME);//账号
        connectionFactory.setPassword(Constants.PASSWORD);  //密码
        connectionFactory.setVirtualHost(Constants.VIRTUAL_HOST); //虚拟主机
        Connection connection = connectionFactory.newConnection();
        //2. 开启信道
        Channel channel = connection.createChannel();
        //3. 接收请求
        channel.basicQos(1);
        DefaultConsumer consumer = new DefaultConsumer(channel){
            @Override
            public void handleDelivery(String consumerTag, Envelope envelope, AMQP.BasicProperties properties, byte[] body) throws IOException {
                String request = new String(body,"UTF-8");
                System.out.println("接收到请求:"+ request);
                String response = "针对request:"+ request +", 响应成功";
                AMQP.BasicProperties basicProperties = new AMQP.BasicProperties().builder()
                        .correlationId(properties.getCorrelationId())
                        .build();
                channel.basicPublish("", Constants.RPC_RESPONSE_QUEUE, basicProperties, response.getBytes());
                channel.basicAck(envelope.getDeliveryTag(), false);

            }
        };
        channel.basicConsume(Constants.RPC_REQUEST_QUEUE, false, consumer);
    }
}

7.Publisher Confirms(发布确认)

作为消息中间件, 都会⾯临消息丢失的问题.
消息丢失⼤概分为三种情况:

1. ⽣产者问题. 因为应⽤程序故障, ⽹络抖动等各种原因, ⽣产者没有成功向broker发送消息.
2. 消息中间件⾃⾝问题. ⽣产者成功发送给了Broker, 但是Broker没有把消息保存好, 导致消息丢失.
3. 消费者问题. Broker 发送消息到消费者, 消费者在消费消息时, 因为没有处理好, 导致broker将消费失败的消息从队列中删除
   针对问题1, 可以采⽤发布确认(Publisher Confirms)机制实现.
   发布确认 属于RabbitMQ的七⼤⼯作模式之⼀.
   ⽣产者将信道设置成confirm(确认)模式, ⼀旦信道进⼊confirm模式, 所有在该信道上⾯发布的消息都会被指派⼀个唯⼀的ID(从1开始), ⼀旦消息被投递到所有匹配的队列之后, RabbitMQ就会发送⼀个确认给⽣产者(包含消息的唯⼀ID), 这就使得⽣产者知道消息已经正确到达⽬的队列了, 如果消息和队列是可持久化的, 那么确认消息会在将消息写⼊磁盘之后发出. broker回传给⽣产者的确认消息中 deliveryTag 包含了确认消息的序号, 此外 broker 也可以设置channel.basicAck⽅法中的multiple参数, 表⽰到这个序号之前的所有消息都已经得到了处理.
   发布确认有三种策略

package rabbitmq.publisher.confirms;

import com.rabbitmq.client.Channel;
import com.rabbitmq.client.ConfirmListener;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;
import rabbitmq.constant.Constants;

import java.io.IOException;
import java.util.Collections;
import java.util.SortedSet;
import java.util.TreeSet;
import java.util.concurrent.TimeoutException;

public class PublisherConfirms {
    private static final Integer MESSAGE_COUNT = 200;
    static Connection createConnection() throws IOException, TimeoutException {
        ConnectionFactory connectionFactory = new ConnectionFactory();
        connectionFactory.setHost(Constants.HOST);
        connectionFactory.setPort(Constants.PORT); //需要提前开放端口号
        connectionFactory.setUsername(Constants.USER_NAME);//账号
        connectionFactory.setPassword(Constants.PASSWORD);  //密码
        connectionFactory.setVirtualHost(Constants.VIRTUAL_HOST); //虚拟主机
        return connectionFactory.newConnection();
    }

    public static void main(String[] args) throws Exception {
        //单独确认
        publishingMessagesIndividually();
        //批量确认
        publishingMessagesInBatches();
        //异步确认
        handlingPublisherConfirmsAsynchronously();
    }

    private static void handlingPublisherConfirmsAsynchronously() throws Exception{
        try (Connection connection = createConnection()) {
            //1. 开启信道
            Channel channel = connection.createChannel();
            //2. 设置信道为confirm模式
            channel.confirmSelect();
            //3. 声明队列
            channel.queueDeclare(Constants.PUBLISHER_CONFIRMS_QUEUE3, true, false, false, null);
            //4. 监听confirm
            //集合中存储的是未确认的消息ID
            long start = System.currentTimeMillis();
            SortedSet<Long> confirmSeqNo = Collections.synchronizedSortedSet(new TreeSet<>());
            channel.addConfirmListener(new ConfirmListener() {
                @Override
                public void handleAck(long deliveryTag, boolean multiple) throws IOException {
                        if(multiple){
                            confirmSeqNo.headSet(deliveryTag+1).clear();
                        }else{
                            confirmSeqNo.remove(deliveryTag);
                        }
                }

                @Override
                public void handleNack(long deliveryTag, boolean multiple) throws IOException {
                    if (multiple){
                        confirmSeqNo.headSet(deliveryTag+1).clear();
                    }else {
                        confirmSeqNo.remove(deliveryTag);
                    }
                    //业务需要根据实际场景进行处理, 比如重发, 此处代码省略
                }
            });
            //5. 发送消息
            for (int i = 0; i < MESSAGE_COUNT; i++) {
                String msg = "hello publisher confirms"+i;
                long seqNo = channel.getNextPublishSeqNo();
                channel.basicPublish("",Constants.PUBLISHER_CONFIRMS_QUEUE3, null, msg.getBytes());
                confirmSeqNo.add(seqNo);
            }
            while (!confirmSeqNo.isEmpty()){
                Thread.sleep(10);
            }
            long end = System.currentTimeMillis();
            System.out.printf("异步确认策略, 消息条数: %d, 耗时: %d ms \n",MESSAGE_COUNT, end-start);
        }
    }
        //批量确认
    private static void publishingMessagesInBatches() throws Exception{
        try(Connection connection = createConnection()) {
            //1. 开启信道
            Channel channel = connection.createChannel();
            //2. 设置信道为confirm模式
            channel.confirmSelect();
            //3. 声明队列
            channel.queueDeclare(Constants.PUBLISHER_CONFIRMS_QUEUE2, true, false, false, null);
            //4. 发送消息, 并进行确认
            long start = System.currentTimeMillis();
            int batchSize = 100;
            int outstandingMessageCount = 0;
            for (int i = 0; i < MESSAGE_COUNT; i++) {
                String msg = "hello publisher confirms"+i;
                channel.basicPublish("",Constants.PUBLISHER_CONFIRMS_QUEUE2, null, msg.getBytes());
                outstandingMessageCount++;
                if (outstandingMessageCount==batchSize){
                    channel.waitForConfirmsOrDie(5000);
                    outstandingMessageCount = 0;
                }
            }
            if (outstandingMessageCount>0){
                channel.waitForConfirmsOrDie(5000);
            }
            long end = System.currentTimeMillis();
            System.out.printf("批量确认策略, 消息条数: %d, 耗时: %d ms \n",MESSAGE_COUNT, end-start);

        }
    }

    //单独确认
    private static void publishingMessagesIndividually() throws Exception{
        try(Connection connection = createConnection()){
            //1.开启信道
            Channel channel = connection.createChannel();
            //2.设置信道为confirm模式
            channel.confirmSelect();
            //3.声明队列
            channel.queueDeclare(Constants.PUBLISHER_CONFIRMS_QUEUE1,true,false,false,null);
            //4.发送消息吗，并等待确认
            long start =System.currentTimeMillis();
            for(int i=0;i< MESSAGE_COUNT;i++){
                String msg = "hello publisher confirms"+i;
                channel.basicPublish("",Constants.PUBLISHER_CONFIRMS_QUEUE1,null,msg.getBytes());
                //等待确认
                channel.waitForConfirmsOrDie(5000);
            }
            long end =System.currentTimeMillis();
            System.out.printf("单独确认策略, 消息条数: %d, 耗时: %d ms \n",MESSAGE_COUNT, end-start);
        }
    }
}