RabbitMq 之简单队列

简单队列类似于我们的生产者,消费者,

一个生产者,对应一个消费者.

直接上代码:

package com.j1.rabbitmq.simple;

import com.j1.rabbitmq.util.ConnectionUtil;

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

public class Recv {

    private final static String QUEUE_NAME = "test_queue";

    public static void main(String[] argv) throws Exception {

        // 获取到连接以及mq通道
        Connection connection = ConnectionUtil.getConnection();
        Channel channel = connection.createChannel();

        // 声明队列
        /**
         * 如果队列存在,则返回,如果不存在,则创建
         */
        channel.queueDeclare(QUEUE_NAME, false, false, false, null);

        // 定义队列的消费者
        QueueingConsumer consumer = new QueueingConsumer(channel);
        // 监听队列
        channel.basicConsume(QUEUE_NAME, true, consumer);

        // 获取消息
        while (true) {
            QueueingConsumer.Delivery delivery = consumer.nextDelivery();
            String message = new String(delivery.getBody());
            System.out.println(" [x] Received '" + message + "'");
        }
    }
}

package com.j1.rabbitmq.simple;

import com.j1.rabbitmq.util.ConnectionUtil;

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

public class Send {

    private final static String QUEUE_NAME = "test_queue";

    public static void main(String[] argv) throws Exception {
        // 获取到连接以及mq通道
        Connection connection = ConnectionUtil.getConnection();
        // 从连接中创建通道
        Channel channel = connection.createChannel();

        // 声明（创建）队列
        channel.queueDeclare(QUEUE_NAME, false, false, false, null);

        // 消息内容
        String message = "Hello World! 1111";
        channel.basicPublish("", QUEUE_NAME, null, message.getBytes());
        System.out.println(" [x] Sent '" + message + "'");

        //关闭通道和连接
        channel.close();
        connection.close();
    }
}

生产者生产一条信息,会被消费者进行消费,

但是上面有一个问题,只能是一对一的关系,在应用中很少用的到,

下面我们来讨论一下,一个生产者,多个消费者的情况

package com.j1.rabbitmq.work;

import com.j1.rabbitmq.util.ConnectionUtil;

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

public class Send {

    private final static String QUEUE_NAME = "test_queue_work";

    public static void main(String[] argv) throws Exception {
        // 获取到连接以及mq通道
        Connection connection = ConnectionUtil.getConnection();
        Channel channel = connection.createChannel();

        // 声明队列
        channel.queueDeclare(QUEUE_NAME, false, false, false, null);

        for (int i = 0; i < 100; i++) {
            // 消息内容
            String message = "" + i;
            channel.basicPublish("", QUEUE_NAME, null, message.getBytes());
            System.out.println(" [x] Sent '" + message + "'");

            Thread.sleep(i * 10);
        }

        channel.close();
        connection.close();
    }
}

package com.j1.rabbitmq.work;

import com.j1.rabbitmq.util.ConnectionUtil;

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

public class Recv {

    private final static String QUEUE_NAME = "test_queue_work";

    public static void main(String[] argv) throws Exception {

        // 获取到连接以及mq通道
        Connection connection = ConnectionUtil.getConnection();
        Channel channel = connection.createChannel();

        // 声明队列
        channel.queueDeclare(QUEUE_NAME, false, false, false, null);

        // 同一时刻服务器只会发一条消息给消费者，每一次服务器只会向客户端发送一条
        //channel.basicQos(1);

        // 定义队列的消费者
        QueueingConsumer consumer = new QueueingConsumer(channel);
        // 监听队列，手动返回完成
        channel.basicConsume(QUEUE_NAME, false, consumer);

        // 获取消息
        while (true) {
            QueueingConsumer.Delivery delivery = consumer.nextDelivery();
            String message = new String(delivery.getBody());
            System.out.println(" [x] Received '" + message + "'");
            //休眠
            Thread.sleep(10);
            // 返回确认状态
            channel.basicAck(delivery.getEnvelope().getDeliveryTag(), false);
        }
    }
}

package com.j1.rabbitmq.work;

import com.j1.rabbitmq.util.ConnectionUtil;

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

public class Recv2 {

    private final static String QUEUE_NAME = "test_queue_work";

    public static void main(String[] argv) throws Exception {

        // 获取到连接以及mq通道
        Connection connection = ConnectionUtil.getConnection();
        Channel channel = connection.createChannel();

        // 声明队列
        channel.queueDeclare(QUEUE_NAME, false, false, false, null);

        // 同一时刻服务器只会发一条消息给消费者，每一次服务器只会向客户端发送一条
      //  channel.basicQos(1);

        // 定义队列的消费者
        QueueingConsumer consumer = new QueueingConsumer(channel);
        // 监听队列，手动返回完成状态
        channel.basicConsume(QUEUE_NAME, false, consumer);

        // 获取消息
        while (true) {
            QueueingConsumer.Delivery delivery = consumer.nextDelivery();
            String message = new String(delivery.getBody());
            System.out.println(" [x] Received '" + message + "'");
            // 休眠1秒
            Thread.sleep(1000);

            channel.basicAck(delivery.getEnvelope().getDeliveryTag(), false);
        }
    }
}

上面标红的地方要特别注意一下,

生产者在生产消息时,消费者的拿到的数据是一样的,这样就很不合理,因为能者多劳嘛,为了解决这一个问题,引入一行代码:

  channel.basicQos(1);

 

 

 

上面的生产者生产了100条信息,A消费者拿到48条信息,B拿到52条数据,说明A,B拿的信息不是同一条,

就上面的问题我们有一种解决方案:

 

package com.j1.rabbitmq.ps;

import com.j1.rabbitmq.util.ConnectionUtil;

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

public class Send {

    private final static String EXCHANGE_NAME = "test_exchange_fanout";

    public static void main(String[] argv) throws Exception {
        // 获取到连接以及mq通道
        Connection connection = ConnectionUtil.getConnection();
        Channel channel = connection.createChannel();

        // 声明exchange交换机
        channel.exchangeDeclare(EXCHANGE_NAME, "fanout");

        // 消息内容
        String message = "Hello World!";
        channel.basicPublish(EXCHANGE_NAME, "", null, message.getBytes());
        System.out.println(" [x] Sent '" + message + "'");

        channel.close();
        connection.close();
    }
}

 

package com.j1.rabbitmq.ps;

import com.j1.rabbitmq.util.ConnectionUtil;

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

public class Recv {

    private final static String QUEUE_NAME = "test_queue_exchange";

    private final static String EXCHANGE_NAME = "test_exchange_fanout";

    public static void main(String[] argv) throws Exception {

        // 获取到连接以及mq通道
        Connection connection = ConnectionUtil.getConnection();
        Channel channel = connection.createChannel();

        // 声明队列
        channel.queueDeclare(QUEUE_NAME, false, false, false, null);

        // 绑定队列到交换机
        channel.queueBind(QUEUE_NAME, EXCHANGE_NAME, "");

        // 同一时刻服务器只会发一条消息给消费者
        channel.basicQos(1);

        // 定义队列的消费者
        QueueingConsumer consumer = new QueueingConsumer(channel);
        // 监听队列，手动返回完成
        channel.basicConsume(QUEUE_NAME, false, consumer);

        // 获取消息
        while (true) {
            QueueingConsumer.Delivery delivery = consumer.nextDelivery();
            String message = new String(delivery.getBody());
            System.out.println(" [x] Received '" + message + "'");
            Thread.sleep(10);
            // 返回消息消费状态
            channel.basicAck(delivery.getEnvelope().getDeliveryTag(), false);
        }
    }
}

package com.j1.rabbitmq.ps;

import com.j1.rabbitmq.util.ConnectionUtil;

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

public class Recv2 {

    private final static String QUEUE_NAME = "test_queue_exchange2";

    private final static String EXCHANGE_NAME = "test_exchange_fanout";

    public static void main(String[] argv) throws Exception {

        // 获取到连接以及mq通道
        Connection connection = ConnectionUtil.getConnection();
        Channel channel = connection.createChannel();

        // 声明队列
        channel.queueDeclare(QUEUE_NAME, false, false, false, null);

        // 绑定队列到交换机
        channel.queueBind(QUEUE_NAME, EXCHANGE_NAME, "");

        // 同一时刻服务器只会发一条消息给消费者
        channel.basicQos(1);

        // 定义队列的消费者
        QueueingConsumer consumer = new QueueingConsumer(channel);
        // 监听队列，手动返回完成
        channel.basicConsume(QUEUE_NAME, false, consumer);

        // 获取消息
        while (true) {
            QueueingConsumer.Delivery delivery = consumer.nextDelivery();
            String message = new String(delivery.getBody());
            System.out.println(" [x] Received '" + message + "'");
            Thread.sleep(10);

            channel.basicAck(delivery.getEnvelope().getDeliveryTag(), false);
        }
    }
}

其实总结一下:

一个生产者，多个消费者，每个消费者获取到的消息是一样的。

1、生产者发送消息到交换机。（生产者可以向队列或者交换机发送消息）

2、消费者监听消息队列，消费者永远只能从队列中获取消息。

3、队列绑定到交换机，获取消息。

就是将队列绑定在交换机上,监听队列,获取生产者者信息.

一个交换机可以对应好几个队列,

这种模式将用于我们的搜索,缓存服务,后面会在实际应用中看到