rabbitMq交换机direct、topics

一： direct

上面我用采用了广播的模式进行消息的发送，现在我们采用路由的方式对不同的消息进行过滤

发送端代码

public class RoutingSendDirect {
    private static final String EXCHANGE_NAME = "direct_logs";
    // 路由关键字
    private static final String[] routingKeys = new String[]{"info" ,"warning", "error"};
    public static void main(String[] args) throws IOException, TimeoutException {
        ConnectionFactory factory = new ConnectionFactory();
        factory.setHost("localhost");
        Connection connection = factory.newConnection();
        Channel channel = connection.createChannel();
        //声明交换机
        channel.exchangeDeclare(EXCHANGE_NAME,"direct");//注意是direct
        //发送信息
        for (String routingKey:routingKeys){
            String message = "RoutingSendDirect Send the message level:" + routingKey;
            channel.basicPublish(EXCHANGE_NAME,routingKey,null,message.getBytes());
            System.out.println("RoutingSendDirect Send"+routingKey +"':'" + message);
        }
        channel.close();
        connection.close();
    }
}

ReceiveLogsDirect1 消费者代码

public class ReceiveLogsDirect1 {
    // 交换器名称
    private static final String EXCHANGE_NAME = "direct_logs";
    // 路由关键字
    private static final String[] routingKeys = new String[]{"info" ,"warning"};

    public static void main(String[] args) throws IOException, TimeoutException {
        ConnectionFactory factory = new ConnectionFactory();
        factory.setHost("localhost");
        Connection connection = factory.newConnection();
        Channel channel = connection.createChannel();
        //声明交换器
        channel.exchangeDeclare(EXCHANGE_NAME, "direct");
        //获取匿名队列名称
        String queueName=channel.queueDeclare().getQueue();

        //根据路由关键字进行绑定
        for (String routingKey:routingKeys){
            channel.queueBind(queueName,EXCHANGE_NAME,routingKey);
            System.out.println("ReceiveLogsDirect1 exchange:"+EXCHANGE_NAME+"," +
                    " queue:"+queueName+", BindRoutingKey:" + routingKey);
        }
        System.out.println("ReceiveLogsDirect1  Waiting for messages");
        Consumer consumer = new DefaultConsumer(channel) {
            @Override
            public void handleDelivery(String consumerTag, Envelope envelope, AMQP.BasicProperties properties, byte[] body) throws IOException {
                String message = new String(body, "UTF-8");
                System.out.println("ReceiveLogsDirect1 Received '" + envelope.getRoutingKey() + "':'" + message + "'");
            }
        };
        channel.basicConsume(queueName, true, consumer);
    }

ReceiveLogsDirect2消费者代码

public class ReceiveLogsDirect2 {
    // 交换器名称
    private static final String EXCHANGE_NAME = "direct_logs";
    // 路由关键字
    private static final String[] routingKeys = new String[]{"error"};

    public static void main(String[] argv) throws Exception {
        ConnectionFactory factory = new ConnectionFactory();
        factory.setHost("localhost");
        Connection connection = factory.newConnection();
        Channel channel = connection.createChannel();
        //声明交换器
        channel.exchangeDeclare(EXCHANGE_NAME, "direct");
        //获取匿名队列名称
        String queueName = channel.queueDeclare().getQueue();
        //根据路由关键字进行多重绑定
        for (String severity : routingKeys) {
            channel.queueBind(queueName, EXCHANGE_NAME, severity);
            System.out.println("ReceiveLogsDirect2 exchange:"+EXCHANGE_NAME+", queue:"+queueName+", BindRoutingKey:" + severity);
        }
        System.out.println("ReceiveLogsDirect2 Waiting for messages");

        Consumer consumer = new DefaultConsumer(channel) {
            @Override
            public void handleDelivery(String consumerTag, Envelope envelope, AMQP.BasicProperties properties, byte[] body) throws UnsupportedEncodingException {
                String message = new String(body, "UTF-8");
                System.out.println("ReceiveLogsDirect2 Received '" + envelope.getRoutingKey() + "':'" + message + "'");
            }
        };
        channel.basicConsume(queueName, true, consumer);
    }
}

上面代码可以看出这里是通过路由来找个这个对列的。我们看下结果

二：Topics

这种应该属于模糊匹配

* ：可以替代一个词

#：可以替代0或者更多的词

现在我们继续看看代码来理解

发送端

public class TopicSend {
    private static final String EXCHANGE_NAME = "topic_logs";

    public static void main(String[] args) throws IOException, TimeoutException {
        Connection connection = null;
        Channel channel = null;
        try{
            ConnectionFactory factory=new ConnectionFactory();
            factory.setHost("localhost");
            connection=factory.newConnection();
            channel=connection.createChannel();

            //声明一个匹配模式的交换机
            channel.exchangeDeclare(EXCHANGE_NAME,"topic");
            //待发送的消息
            String[] routingKeys=new String[]{
                    "quick.orange.rabbit",
                    "lazy.orange.elephant",
                    "quick.orange.fox",
                    "lazy.brown.fox",
                    "quick.brown.fox",
                    "quick.orange.male.rabbit",
                    "lazy.orange.male.rabbit"
            };
            //发送消息
            for(String severity :routingKeys){
                String message = "From "+severity+" routingKey' s message!";
                channel.basicPublish(EXCHANGE_NAME, severity, null, message.getBytes());
                System.out.println("TopicSend Sent '" + severity + "':'" + message + "'");
            }
        }catch (Exception e){
            e.printStackTrace();
            if (connection!=null){
                channel.close();
                connection.close();
            }
        }finally {
            if (connection!=null){
                channel.close();
                connection.close();
            }
        }
    }
}

消费者1：

public class ReceiveLogsTopic1 {
    private static final String EXCHANGE_NAME = "topic_logs";

    public static void main(String[] args) throws IOException, TimeoutException {
        ConnectionFactory factory = new ConnectionFactory();
        factory.setHost("localhost");
        Connection connection = factory.newConnection();
        Channel channel = connection.createChannel();

        //声明一个匹配模式的交换机
        channel.exchangeDeclare(EXCHANGE_NAME, "topic");
        String queueName = channel.queueDeclare().getQueue();
        //路由关键字
        String[] routingKeys = new String[]{"*.orange.*"};
        //绑定路由
        for (String routingKey : routingKeys) {
            channel.queueBind(queueName, EXCHANGE_NAME, routingKey);
            System.out.println("ReceiveLogsTopic1 exchange:" + EXCHANGE_NAME + ", queue:" + queueName + ", BindRoutingKey:" + routingKey);
        }
        System.out.println("ReceiveLogsTopic1 Waiting for messages");

        Consumer consumer = new DefaultConsumer(channel) {
            @Override
            public void handleDelivery(String consumerTag, Envelope envelope, AMQP.BasicProperties properties, byte[] body) throws IOException {
                String message = new String(body, "UTF-8");
                System.out.println("ReceiveLogsTopic1 Received '" + envelope.getRoutingKey() + "':'" + message + "'");
            }
        };
        channel.basicConsume(queueName, true, consumer);
    }
}

消费者2：

复制代码

ublic class ReceiveLogsTopic2 {
    private static final String EXCHANGE_NAME = "topic_logs";

    public static void main(String[] argv) throws IOException, TimeoutException {
        ConnectionFactory factory = new ConnectionFactory();
        factory.setHost("localhost");
        Connection connection = factory.newConnection();
        Channel channel = connection.createChannel();
//      声明一个匹配模式的交换器
        channel.exchangeDeclare(EXCHANGE_NAME, "topic");
        String queueName = channel.queueDeclare().getQueue();
        // 路由关键字
        String[] routingKeys = new String[]{"*.*.rabbit", "lazy.#"};
//      绑定路由关键字
        for (String bindingKey : routingKeys) {
            channel.queueBind(queueName, EXCHANGE_NAME, bindingKey);
            System.out.println("ReceiveLogsTopic2 exchange:"+EXCHANGE_NAME+", queue:"+queueName+", BindRoutingKey:" + bindingKey);
        }

        System.out.println("ReceiveLogsTopic2 Waiting for messages");

        Consumer consumer = new DefaultConsumer(channel) {
            @Override
            public void handleDelivery(String consumerTag, Envelope envelope, AMQP.BasicProperties properties, byte[] body) throws UnsupportedEncodingException  {
                String message = new String(body, "UTF-8");
                System.out.println("ReceiveLogsTopic2 Received '" + envelope.getRoutingKey() + "':'" + message + "'");
            }
        };
        channel.basicConsume(queueName, true, consumer);
    }
}

三，远程调用

public class RPCServer {
    private static final String RPC_QUEUE_NAME = "rpc_queue";
    private static int fib(int n) {
        if (n == 0) {
            return 0;
        }
        if (n == 1) {
            return 1;
        }
        return fib(n - 1) + fib(n - 1);
    }
    public static void main(String[] args) throws IOException, InterruptedException, TimeoutException {
        ConnectionFactory factory = new ConnectionFactory();
        factory.setHost("localhost");
        Connection connection = factory.newConnection();
        Channel channel = connection.createChannel();
        channel.queueDeclare(RPC_QUEUE_NAME, false, false, false, null);
        channel.basicQos(1);
        QueueingConsumer consumer = new QueueingConsumer(channel);
        channel.basicConsume(RPC_QUEUE_NAME, false, consumer);

        System.out.println("RPCServer Awating RPC request");
        while (true) {
            QueueingConsumer.Delivery delivery = consumer.nextDelivery();
            BasicProperties props = delivery.getProperties();
            BasicProperties replyProps = new AMQP.BasicProperties.Builder().
                    correlationId(props.getCorrelationId()).build();

            String message = new String(delivery.getBody(), "UTF-8");
            int n = Integer.parseInt(message);

            System.out.println("RPCServer fib(" + message + ")");
            String response = "" + fib(n);
            channel.basicPublish( "", props.getReplyTo(), replyProps, response.getBytes());
            channel.basicAck(delivery.getEnvelope().getDeliveryTag(), false);
        }
    }
}

服务器代码比较简单
1：建立连接，通道，队列
2：我们可能运行多个服务器进程，为了分散负载服务器压力，我们设置channel.basicQos(1);
3：我们用basicconsume访问队列。然后进入循环，在其中我们等待请求消息并处理消息然后发送响应。

public class RPCClient {
    private Connection connection;
    private Channel channel;
    private String requestQueueName = "rpc_queue";
    private String replyQueueName;
    private QueueingConsumer consumer;
    public RPCClient() throws IOException, TimeoutException {
        ConnectionFactory factory = new ConnectionFactory();
        factory.setHost("localhost");
        connection = factory.newConnection();
        channel = connection.createChannel();

        replyQueueName = channel.queueDeclare().getQueue();
        consumer = new QueueingConsumer(channel);
        channel.basicConsume(replyQueueName, true, consumer);
    }
    public String call(String message) throws IOException, InterruptedException {
        String response;
        String corrID = UUID.randomUUID().toString();
        AMQP.BasicProperties props = new AMQP.BasicProperties().builder()
                .correlationId(corrID).replyTo(replyQueueName).build();
        channel.basicPublish("", requestQueueName, props, message.getBytes("UTF-8"));//发送消息等待服务端返回
        while (true) {
            QueueingConsumer.Delivery delivery = consumer.nextDelivery();//服务端响应后 阻塞解除
            if (delivery.getProperties().getCorrelationId().equals(corrID)) {
                response = new String(delivery.getBody(), "UTF-8");
                break;
            }
        }
        return response;
    }
    public void close() throws Exception {
        connection.close();
    }
    public static void main(String[] args) throws Exception {
        RPCClient rpcClient = null;
        String response;
        try {
            rpcClient = new RPCClient();
            System.out.println("RPCClient  Requesting fib(20)");
            response = rpcClient.call("20");
            System.out.println("RPCClient  Got '" + response + "'");
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            if (rpcClient != null) {
                rpcClient.close();
            }
        }
    }
}

客户端代码解读
1：建立一个连接和通道，并声明了一个唯一的“回调”队列的答复
2：我们订阅回调队列，这样就可以得到RPC的响应
3：定义一个call方法用于发送当前的回调请求
4：生成一个唯一的correlationid，然后通过while循环来捕获合适的回应
5：我们请求信息，发送2个属性，replyTo 和correlationId
6：然后就是等待直到有合适的回应到达
7：while循环是做一个非常简单的工作，对于每一个响应消息，它检查是否有correlationid然后进行匹配。然后是就进行响应。
8：最后把响应返回到客户端。