如果是高并发下,rabbitmq服务器上收到成千上万条消息,那么当打开消费端时,这些消息必定喷涌而来,导致消费端消费不过来甚至挂掉都有可能。

在非自动确认的模式下,可以采用限流模式,rabbitmq 提供了服务质量保障qos机制来控制一次消费消息数量。

下面直接上代码:

生产端:

 package com.zxy.demo.rabbitmq;

 import java.io.IOException;
import java.util.concurrent.TimeoutException; import com.rabbitmq.client.AMQP;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.ConfirmListener;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;
import com.rabbitmq.client.ReturnListener;
import com.rabbitmq.client.AMQP.BasicProperties; public class Producter { public static void main(String[] args) throws IOException, TimeoutException {
// TODO Auto-generated method stub
ConnectionFactory factory = new ConnectionFactory();
factory.setHost("192.168.10.110");
factory.setPort(5672);
factory.setUsername("guest");
factory.setPassword("guest");
factory.setVirtualHost("/");
Connection conn = factory.newConnection();
Channel channel = conn.createChannel();
String exchange001 = "exchange_001";
String queue001 = "queue_001";
String routingkey = "mq.topic";
String body = "hello rabbitmq!===============限流策略";
// 开启确认模式
channel.confirmSelect();
// 循环发送多条消息
for(int i = 0 ;i<10;i++){
channel.basicPublish(exchange001, routingkey, null, body.getBytes());
} // 添加一个返回监听========消息返回模式重要添加
channel.addConfirmListener(new ConfirmListener() { @Override
public void handleNack(long deliveryTag, boolean multiple) throws IOException {
System.out.println("===========NACK============"); } @Override
public void handleAck(long deliveryTag, boolean multiple) throws IOException {
System.out.println("===========ACK============"); }
});
} }

消费端:

 package com.zxy.demo.rabbitmq;

 import java.io.IOException;
import java.util.concurrent.TimeoutException; import com.rabbitmq.client.Channel;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory; public class Receiver { public static void main(String[] args) throws IOException, TimeoutException, InterruptedException {
// TODO Auto-generated method stub
ConnectionFactory factory = new ConnectionFactory();
factory.setHost("192.168.10.110");
factory.setPort(5672);
factory.setUsername("guest");
factory.setPassword("guest");
factory.setVirtualHost("/");
Connection conn = factory.newConnection();
Channel channel = conn.createChannel();
String exchange001 = "exchange_001";
String queue001 = "queue_001";
String routingkey = "mq.*";
channel.exchangeDeclare(exchange001, "topic", true, false, null);
channel.queueDeclare(queue001, true, false, false, null);
channel.queueBind(queue001, exchange001, routingkey);
// 设置限流策略
// channel.basicQos(获取消息最大数[0-无限制], 依次获取数量, 作用域[true作用于整个channel,false作用于具体消费者]);
channel.basicQos(0, 2, false);
// 自定义消费者
MyConsumer myConsumer = new MyConsumer(channel);
// 进行消费,签收模式一定要为手动签收
Thread.sleep(3000);
channel.basicConsume(queue001, false, myConsumer);
} }

自定义消费者:

 package com.zxy.demo.rabbitmq;

 import java.io.IOException;

 import com.rabbitmq.client.AMQP.BasicProperties;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.DefaultConsumer;
import com.rabbitmq.client.Envelope; /**
* 可以继承,可以实现,实现的话要覆写的方法比较多,所以这里用了继承
*
*/
public class MyConsumer extends DefaultConsumer{
private Channel channel;
public MyConsumer(Channel channel) {
super(channel);
// TODO Auto-generated constructor stub
this.channel=channel;
} @Override
public void handleDelivery(String consumerTag, Envelope envelope, BasicProperties properties, byte[] body)
throws IOException {
System.out.println("消费标签:"+consumerTag);
System.out.println("envelope.getDeliveryTag():==="+envelope.getDeliveryTag());
System.out.println("envelope.getExchange():==="+envelope.getExchange());
System.out.println("envelope.getRoutingKey():==="+envelope.getRoutingKey());
System.out.println("body:==="+new String(body));
// 手动签收,一定要有消费者签收,如果没有如下代码,则限流模式下,仅能打印出来channel.basicQos(0, 2, false);第二参数的2条信息
channel.basicAck(envelope.getDeliveryTag(), false);
} }

重回队列模式,是当投递消息失败时,让该消息重新回到队列的模式,该模式需要手动签收,并需要在消费者中进行判断,调用重回队列的确认模式

代码如下

生产端:

 package com.zxy.demo.rabbitmq;

 import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.TimeoutException; import org.springframework.amqp.core.Message; import com.rabbitmq.client.AMQP.BasicProperties;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.ConfirmListener;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;
import com.rabbitmq.client.ReturnListener; public class Producter { public static void main(String[] args) throws IOException, TimeoutException {
// TODO Auto-generated method stub
ConnectionFactory factory = new ConnectionFactory();
factory.setHost("192.168.10.110");
factory.setPort(5672);
factory.setUsername("guest");
factory.setPassword("guest");
factory.setVirtualHost("/");
Connection conn = factory.newConnection();
Channel channel = conn.createChannel();
String exchange001 = "exchange_001";
String queue001 = "queue_001";
String routingkey = "mq.topic"; // 循环发送多条消息
for(int i = 0 ;i<5;i++){
String body = "hello rabbitmq!===============ACK&重回队列,第"+i+"条";
Map<String,Object> head = new HashMap<>();
head.put("n", i);
BasicProperties properties = new BasicProperties(null, "utf-8", head, 2, 1, null, null, null, null, null, null, null, null, null); channel.basicPublish(exchange001, routingkey, properties, body.getBytes());
} } }

消费端:

 package com.zxy.demo.rabbitmq;

 import java.io.IOException;
import java.util.concurrent.TimeoutException; import com.rabbitmq.client.Channel;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory; public class Receiver { public static void main(String[] args) throws IOException, TimeoutException, InterruptedException {
// TODO Auto-generated method stub
ConnectionFactory factory = new ConnectionFactory();
factory.setHost("192.168.10.110");
factory.setPort(5672);
factory.setUsername("guest");
factory.setPassword("guest");
factory.setVirtualHost("/");
Connection conn = factory.newConnection();
Channel channel = conn.createChannel();
String exchange001 = "exchange_001";
String queue001 = "queue_001";
String routingkey = "mq.*";
channel.exchangeDeclare(exchange001, "topic", true, false, null);
channel.queueDeclare(queue001, true, false, false, null);
channel.queueBind(queue001, exchange001, routingkey);
// 自定义消费者
MyConsumer myConsumer = new MyConsumer(channel);
// 进行消费,签收模式一定要为手动签收
channel.basicConsume(queue001, false, myConsumer);
} }

自定义消费者:

 package com.zxy.demo.rabbitmq;

 import java.io.IOException;

 import com.rabbitmq.client.AMQP.BasicProperties;
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.DefaultConsumer;
import com.rabbitmq.client.Envelope; /**
* 可以继承,可以实现,实现的话要覆写的方法比较多,所以这里用了继承
*
*/
public class MyConsumer extends DefaultConsumer{
private Channel channel;
public MyConsumer(Channel channel) {
super(channel);
// TODO Auto-generated constructor stub
this.channel=channel;
} @Override
public void handleDelivery(String consumerTag, Envelope envelope, BasicProperties properties, byte[] body)
throws IOException {
System.out.println("消费标签:"+consumerTag);
System.out.println("envelope.getDeliveryTag():==="+envelope.getDeliveryTag());
System.out.println("envelope.getExchange():==="+envelope.getExchange());
System.out.println("envelope.getRoutingKey():==="+envelope.getRoutingKey());
System.out.println("body:==="+new String(body));
System.out.println("===================休眠以便查看===============");
try {
Thread.sleep(2000);
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
// 手动签收
Integer i = (Integer) properties.getHeaders().get("n");
System.out.println("iiiiiiiiiiiiiiiii======================================================"+i);
if(i==1) {
channel.basicNack(envelope.getDeliveryTag(),false, true);//第三个参数为是否重返队列
}else {
channel.basicAck(envelope.getDeliveryTag(), false);
}
} }

下面是重回队列执行结果,可以看到当消费完后第一条不断的被扔回队列然后消费再扔回。

 消费标签:amq.ctag-eeeaa9jgrJ3tDhtQR2XReg
envelope.getDeliveryTag():===1
envelope.getExchange():===exchange_001
envelope.getRoutingKey():===mq.topic
body:===hello rabbitmq!===============ACK&重回队列,第0条
===================休眠以便查看===============
iiiiiiiiiiiiiiiii======================================================0
消费标签:amq.ctag-eeeaa9jgrJ3tDhtQR2XReg
envelope.getDeliveryTag():===2
envelope.getExchange():===exchange_001
envelope.getRoutingKey():===mq.topic
body:===hello rabbitmq!===============ACK&重回队列,第1条
===================休眠以便查看===============
iiiiiiiiiiiiiiiii======================================================1
消费标签:amq.ctag-eeeaa9jgrJ3tDhtQR2XReg
envelope.getDeliveryTag():===3
envelope.getExchange():===exchange_001
envelope.getRoutingKey():===mq.topic
body:===hello rabbitmq!===============ACK&重回队列,第2条
===================休眠以便查看===============
iiiiiiiiiiiiiiiii======================================================2
消费标签:amq.ctag-eeeaa9jgrJ3tDhtQR2XReg
envelope.getDeliveryTag():===4
envelope.getExchange():===exchange_001
envelope.getRoutingKey():===mq.topic
body:===hello rabbitmq!===============ACK&重回队列,第3条
===================休眠以便查看===============
iiiiiiiiiiiiiiiii======================================================3
消费标签:amq.ctag-eeeaa9jgrJ3tDhtQR2XReg
envelope.getDeliveryTag():===5
envelope.getExchange():===exchange_001
envelope.getRoutingKey():===mq.topic
body:===hello rabbitmq!===============ACK&重回队列,第4条
===================休眠以便查看===============
iiiiiiiiiiiiiiiii======================================================4
消费标签:amq.ctag-eeeaa9jgrJ3tDhtQR2XReg
envelope.getDeliveryTag():===6
envelope.getExchange():===exchange_001
envelope.getRoutingKey():===mq.topic
body:===hello rabbitmq!===============ACK&重回队列,第1条
===================休眠以便查看===============
iiiiiiiiiiiiiiiii======================================================1
消费标签:amq.ctag-eeeaa9jgrJ3tDhtQR2XReg
envelope.getDeliveryTag():===7
envelope.getExchange():===exchange_001
envelope.getRoutingKey():===mq.topic
body:===hello rabbitmq!===============ACK&重回队列,第1条
===================休眠以便查看===============
iiiiiiiiiiiiiiiii======================================================1
消费标签:amq.ctag-eeeaa9jgrJ3tDhtQR2XReg
envelope.getDeliveryTag():===8
envelope.getExchange():===exchange_001
envelope.getRoutingKey():===mq.topic
body:===hello rabbitmq!===============ACK&重回队列,第1条
===================休眠以便查看===============
iiiiiiiiiiiiiiiii======================================================1
消费标签:amq.ctag-eeeaa9jgrJ3tDhtQR2XReg
envelope.getDeliveryTag():===9
envelope.getExchange():===exchange_001
envelope.getRoutingKey():===mq.topic
body:===hello rabbitmq!===============ACK&重回队列,第1条
===================休眠以便查看===============

Rabbitmq之高级特性——实现消费端限流&NACK重回队列的更多相关文章

  1. Rabbitmq——实现消费端限流 --NACK重回队列

    如果是高并发下,rabbitmq服务器上收到成千上万条消息,那么当打开消费端时,这些消息必定喷涌而来,导致消费端消费不过来甚至挂掉都有可能. 在非自动确认的模式下,可以采用限流模式,rabbitmq ...

  2. 面试官:RabbitMQ怎么实现消费端限流

    哈喽!大家好,我是小奇,一位不靠谱的程序员 小奇打算以轻松幽默的对话方式来分享一些技术,如果你觉得通过小奇的文章学到了东西,那就给小奇一个赞吧 文章持续更新 一.前言 RabbitMQ有很多高级特性, ...

  3. SpringBoot 整合 RabbitMQ(包含三种消息确认机制以及消费端限流)

    目录 说明 生产端 消费端 说明 本文 SpringBoot 与 RabbitMQ 进行整合的时候,包含了三种消息的确认模式,如果查询详细的确认模式设置,请阅读:RabbitMQ的三种消息确认模式 同 ...

  4. RabbitMQ 消费端限流、TTL、死信队列

    目录 消费端限流 1. 为什么要对消费端限流 2.限流的 api 讲解 3.如何对消费端进行限流 TTL 1.消息的 TTL 2.队列的 TTL 死信队列 实现死信队列步骤 总结 消费端限流 1. 为 ...

  5. RabbitMQ消费端限流策略(十)

    消费端限流: 什么是消费端限流? 场景: 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: 巨量的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 ...

  6. RabbitMQ的高级特性概念理解

    1.RabbitMQ中的消息如何保障百分之百的投递成功? 答:百分之百的投递成功,方案可以参考下面的2.3. 2.什么是生产者端的可靠性投递? 答:第一步,生产者保障消息的成功发出.第二步,保障Rab ...

  7. Rabbitmq之高级特性——百分百投递消息&消息确认模式&消息返回模式实现

    rabbitmq的高级特性: 如何保障消息的百分之百成功? 要满足4个条件:生产方发送出去,消费方接受到消息,发送方接收到消费者的确认信息,完善的消费补偿机制 解决方案,1)消息落库,进行消息状态打标 ...

  8. RabbitMQ高级之消息限流与延时队列

    人生终将是场单人旅途,孤独之前是迷茫,孤独过后是成长. 楔子 本篇是消息队列RabbitMQ的第五弹. 上篇本来打算讲述RabbitMQ的一些高级用法: 如何保证消息的可靠性? 消息队列如何进行限流? ...

  9. Rabbitmq的高级特性

    消息如何保证100%投递成功? 什么是生产端的可靠性投递? 1.保障消息的成功发出 2.保障MQ节点的成功接收 3.发送端收到MQ节点(Broker)确认应答 4.完善的消息补偿机制 BAT互联网大厂 ...

随机推荐

  1. MySQL数据库索引:索引介绍和使用原则

    本篇目录: 一.数据页与索引页 二.聚簇索引与非聚簇索引 三.唯一索引 四.索引的创建 五.索引的使用规则 六.数据库索引失效情况 本篇正文: 一.数据页与索引页 数据库的表存储分为数据页存储和索引页 ...

  2. [经验] Linux 怎么连接 Xshell?

    (1) 首先, 你要先有一个可以正常运行的 Linux 系统, 当然一般情况下我们是把这个系统放在虚拟机里的, 我所使用的是 ubuntu-18.04.2-live-server-amd64.iso ...

  3. Java后端 带File文件及其它参数的Post请求

    http://www.roak.com Java 带File文件及其它参数的Post请求 对于文件上传,客户端通常就是页面,在前端web页面里实现上传文件不是什么难事,写个form,加上enctype ...

  4. SD-WAN基本介绍

    SD-WAN是什么? SD-WAN,即软件定义广域网络,是将SDN技术应用到广域网场景中所形成的一种服务.这种服务用于连接广阔地理范围的企业网络.数据中心.互联网应用及云服务,旨在帮助用户降低广域网的 ...

  5. titleView发生偏移、titleView与masonry、titleView的设置、titleView的使用

    navigationItem的titleView属性的设置本身是很简单的,容易出问题的原因是自动化布局与frame混用造成的. 本文一步一步的讲解,力求找到问题的起源.如果你也在这块同样遇到问题,不妨 ...

  6. leetcode295 Find Median from Data Stream

    """ Median is the middle value in an ordered integer list. If the size of the list is ...

  7. python join 和setDaemon 简介

    Python多线程编程时,经常会用到join()和setDaemon()方法 1.join ()方法:主线程A中,创建了子线程B,并且在主线程A中调用了B.join(),那么,主线程A会在调用的地方等 ...

  8. C语言书籍入门---第三章

    =======变量和数据类型========= 说      明:字符型   短整型 整型 长整型 单精度浮点型 双精度浮点型 无类型 数据类型:char short int long float d ...

  9. 一、linux基础-对文件操作

    1.1文件夹创建-复制-移动-重命名-删除1.创建文件夹mkdir zjbdir 2.复制文件/文件夹复制文件到:当前目录cp -r zjbdir  zjbdir201600819复制文件到:当前目录 ...

  10. Linux centos7 日常运维——使用w查看系统负载、vmstat命令、top命令、sar命令、nload命令

    一.使用w查看系统负载 w .uptime查看系统负载,0.00表示1分钟之内负载为0 cat  /proc/cpuinfo查看cpu核数 二.vmstat命令,查看进程.cpu.memory.交换. ...