什么是消费端限流
- 假设一个场景,首先,我们Rabbitmq服务器有上万条未处理的消息,我们随便打开一个消费者客户端,会出现下面情况
- 巨量消息瞬间全部推送过来,但是我们单个客户端无法同时处理这么多数据
消费端限流方法
- RabbitMQ提供了一种qos(服务质量保证)功能,即在非自动确认消息的前提下,如果一定数目的消息(通过基于consume或者channel设置Qos的值)未被确认前,不进行消费新的消息
- void BasicQos(unit prefetchSize, ushort prefetchCount, bool global);
- prefetchSize:0
- prefetchCount:会告诉RabbitMQ不要同时给一个消费者推送多于N个消息,即一旦有N个消息还没有ack,则该consumer将block掉,直到有消息ack
- global:true\false 是否将上面设置应用于channel,简单点说,就是上面限制时channel级别的还是consumer级别
- prefetchSize和global这两项,rabbitmq没有实现,暂且不研究prefetch_count在no_ack=false的情况下生效,即在自动应答的情况下这两个值时不生效的
代码实现
生产端
package club.yunqiang.rabbitmqapi.limit;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;
import java.io.IOException;
import java.util.concurrent.TimeoutException;
/**
* @author 张云强
* @date 2019/12/7
*/
public class Producer {
public static void main(String[] args) throws IOException, TimeoutException {
ConnectionFactory connectionFactory = new ConnectionFactory();
connectionFactory.setPort(5672);
connectionFactory.setVirtualHost("/");
connectionFactory.setHost("localhost");
Connection connection = connectionFactory.newConnection();
Channel channel = connection.createChannel();
String exchange = "test_qos_exchange";
String routingKey = "qos.save";
String msg = "Hello Rabbit MQ Consumer Message";
for (int i = 0; i < 5; i++) {
channel.basicPublish(exchange, routingKey, true, null, msg.getBytes());
}
}
}
消费端
package club.yunqiang.rabbitmqapi.limit;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;
import java.io.IOException;
import java.util.concurrent.TimeoutException;
/**
* @author 张云强
* @date 2019/12/7
*/
public class Consumer {
public static void main(String[] args) throws IOException, TimeoutException {
ConnectionFactory connectionFactory = new ConnectionFactory();
connectionFactory.setPort(5672);
connectionFactory.setVirtualHost("/");
connectionFactory.setHost("localhost");
Connection connection = connectionFactory.newConnection();
Channel channel = connection.createChannel();
String exchangeName = "test_qos_exchange";
String routingKey = "qos.#";
String queueName = "test_qos_queue";
channel.exchangeDeclare(exchangeName, "topic", true, false, null);
channel.queueDeclare(queueName, true, false, false, null);
channel.queueBind(queueName, exchangeName, routingKey);
// 1、如果要限流,第一件事必须关掉 autoAck
// 2、设置 qos
channel.basicQos(0, 1, false);
channel.basicConsume(queueName, false, new MyConsumer(channel));
}
}
消费者
package club.yunqiang.rabbitmqapi.limit;
import com.rabbitmq.client.AMQP;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.DefaultConsumer;
import com.rabbitmq.client.Envelope;
import java.io.IOException;
/**
* @author 张云强
* @date 2019/12/7
*/
public class MyConsumer extends DefaultConsumer {
private Channel channel;
/**
* Constructs a new instance and records its association to the passed-in channel.
*
* @param channel the channel to which this consumer is attached
*/
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.out.println("---- consume message ----");
System.err.println("consumerTag:" + consumerTag);
System.err.println("envelope:" + envelope);
System.err.println("properties:" + properties);
System.err.println("body:" + new String(body));
// 3、确认签收消息
channel.basicAck(envelope.getDeliveryTag(), false);
}
}
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