RabbitMQ结构
-
Publisher ： 生产者
-
Queue: 存储消息的容器队列；
-
Consumer:消费者
-
Connection：消费者与消息服务的TCP连接
-
Channel:信道，是TCP里面的虚拟连接。例如：电缆相当于TCP，信道是一条独立光纤束，一条TCP连接上创建多少条信道是没有限制的。TCP一旦打开，就会出AMQP信道。无论是发布消息，接收消息，订阅队列，这些动作都是通过信道完成的。
Broker: 一台消息服务就是一个Broker; -
Exchange:交换机、负责接收生产者的消息，转发到队列中、交换机和队列通过路由键绑定、可以理解为每个队列都有自己的名称；
SpringBoot整合RabbitMQ
- Queue
- 消息存放于队列中， 若是RabbitMQ挂了，则消息会丢失，因此要开启持久化， 将durable设置为true,
- 若是没有消费者消费该队列，则该队列会自动删除， 因此需要将autoDelete参数设置为false;
public Queue(String name) {
// 队列名称， 是否持久化，是否独占， 是否自动删除
this(name, true, false, false);
}
- @RabbitListener
@RabbitListener(bindings=@QueueBinding(
value= @Queue(value="${mq.config.queue.info}",autoDelete="true"),
exchange=@Exchange(value="${mq.config.exchange}",type=ExchangeTypes.DIRECT),
key="${mq.config.queue.info.routing.key}"
)
)
用来标记消费者；exchange表示交换器信息、类型；bindings表示监听器要绑定的队列、以及队列信息；
key：代表交换机和队列通过key绑定的；
- AmqpTemplate / RabbitTempldate:
生产者通过依赖此工具类发送消息；
先安装RabbitMQ，创建SpringBoot项目，修改配置
# 应用名称
spring.application.name=boolfilter
# 应用服务 WEB 访问端口
server.port=8080
spring.rabbitmq.host=127.0.0.1
spring.rabbitmq.port=5672
spring.rabbitmq.username=guest
spring.rabbitmq.password=guest
入门级别程序
发送hello world程序；
生产者：
public class Tut1Sender {
@Autowired
private RabbitTemplate template;
@Autowired
private Queue queue;
@Scheduled(fixedDelay = 1000, initialDelay = 500)
public void send() {
String message = "Hello World!";
this.template.convertAndSend(queue.getName(), message);
System.out.println(" [x] Sent '" + message + "'");
}
}
消费者：
@RabbitListener(queues = "hello")
public class Tut1Receiver {
@RabbitHandler
public void receive(String in) {
System.out.println(" [x] Received '" + in + "'");
}
}
将生产者、消费者注入容器；
@Configuration
@EnableScheduling
public class Tut1Config {
@Bean
public Queue hello() {
return new Queue("hello");
}
@Bean
public Tut1Receiver receiver() {
return new Tut1Receiver();
}
@Bean
public Tut1Sender sender() {
return new Tut1Sender();
}
}
运行结果：
[x] Sent ‘Hello World!’
[x] Received ‘Hello World!’
[x] Sent ‘Hello World!’
[x] Received ‘Hello World!’
[x] Sent ‘Hello World!’
…
工作队列
主要思想是避免 立即执行资源密集型任务，必须等待它要完成。相反，我们将任务安排在以后完成。我们将任务封装为消息并将其发送到队列。正在运行的工作进程 在后台将弹出任务并最终执行工作
生产者：
public class Tut2Sender {
@Autowired
private RabbitTemplate template;
@Autowired
private Queue queue;
AtomicInteger dots = new AtomicInteger(0);
AtomicInteger count = new AtomicInteger(0);
@Scheduled(fixedDelay = 1000, initialDelay = 500)
public void send() {`在这里插入代码片`
StringBuilder builder = new StringBuilder("Hello");
if (dots.incrementAndGet() == 4) {
dots.set(1);
}
for (int i = 0; i < dots.get(); i++) {
builder.append('.');
}
builder.append(count.incrementAndGet());
String message = builder.toString();
template.convertAndSend(queue.getName(), message);
System.out.println(" [x] Sent '" + message + "'");
}
}
消费者：
@RabbitListener(queues = "hello")
public class Tut2Receiver {
private final int instance;
public Tut2Receiver(int i) {
this.instance = i;
}
@RabbitHandler
public void receive(String in) throws InterruptedException {
StopWatch watch = new StopWatch();
watch.start();
System.out.println("instance " + this.instance +
" [x] Received '" + in + "'");
doWork(in);
watch.stop();
System.out.println("instance " + this.instance +
" [x] Done in " + watch.getTotalTimeSeconds() + "s");
}
private void doWork(String in) throws InterruptedException {
for (char ch : in.toCharArray()) {
if (ch == '.') {
Thread.sleep(1000);
}
}
}
}
队列、生产者、消费者注入容器：
@Configuration
public class Tut2Config {
@Bean
public Queue hello() {
return new Queue("hello");
}
private static class ReceiverConfig {
@Bean
public Tut2Receiver receiver1() {
return new Tut2Receiver(1);
}
@Bean
public Tut2Receiver receiver2() {
return new Tut2Receiver(2);
}
}
@Bean
public Tut2Sender sender() {
return new Tut2Sender();
}
}
运行结果：
[x] Sent ‘Hello.1’
instance 1 [x] Received ‘Hello.1’
[x] Sent ‘Hello…2’
instance 2 [x] Received ‘Hello…2’
instance 1 [x] Done in 1.0062309s
[x] Sent ‘Hello…3’
instance 1 [x] Received ‘Hello…3’
instance 2 [x] Done in 2.0085791s
[x] Sent ‘Hello.4’
instance 2 [x] Received ‘Hello.4’
…
消息确认
- SpringBoot整合RabbitMQ代码中，若消费者消费出现异常，则会重新进入队列， 一般生产环境中，是要有重试机制的；
- 若是要关闭重试机制、则设置defaultRequeueRejected=false， 或者抛出AmqpRejectAndDontRequeueException异常，这样框架会帮我们自动提交确认channel.basicAck()
- 重试机制也会存在问题、若是消费者服务关闭、则消息会不断重新入队、导致RabbitMQ内存最终爆满宕机；
- 消息的ACK确认机制默认是打开的；如果忘记了ACK，后果很严重，当Consumer退出时，消息会一直重新分发，然后RabbitMq会占用越来越多的内存，由于RabbitMq会长时间运行，出现“内存泄露”是致命的
异常处理方案：
- 使用try-catch捕捉
- 使用重试机制、超过一定次数、则丢弃消息或放入死信队列；
spring.rabbitmq.listener.retry.max-attempts=5 //重试超过5次，消息丢弃；
公平调度与循环调度
-
默认情况下，RabbitMQ 会将每条消息发送给下一个消费者。平均而言，每个消费者将获得相同数量的 消息。这种分发消息的方式称为轮询。 在这种模式下，调度不一定完全按照我们想要的方式工作。 若是存在两台机器，一台性能好、一台性能差， 而RabbitMQ对此一无所知，仍然会调度 消息均匀。发生这种情况是因为 RabbitMQ 只是在消息时调度消息 进入队列。它不看未确认的数量 面向消费者的消息。它只是盲目地发送每 n 条消息 给第 n 个消费者，这就导致了一台机器特别忙碌、一台机器空闲；
-
“公平调度”是Spring AMQP的默认配置。Consumer可以向服务器声明一个prefetchCount, 表示轮到自己时、自己可处理多少消息；这样RabbitMQ转发消息给消费者时、会先看Consumer正在处理的消息数量是否达到了prefetchCount, 若已达到该值，则发给其他的Consumer;
发布/订阅
特点：一条消息同时会被所有消费者消息；X是交换机(Exchange)；交换机和队列进行绑定(Binding)
交换机负责接收生产者发送的消息，再转发消息到队列中；实现了生产者与队列的解耦；
RabbitMQ 中消息传递模型的核心思想是生产者 从不将任何消息直接发送到队列
示例1 ： 广播匿名队列
发送者：
public class Tut3Sender {
@Autowired
private RabbitTemplate template;
@Autowired
private FanoutExchange fanout;
AtomicInteger dots = new AtomicInteger(0);
AtomicInteger count = new AtomicInteger(0);
@Scheduled(fixedDelay = 1000, initialDelay = 500)
public void send() {
StringBuilder builder = new StringBuilder("Hello");
if (dots.getAndIncrement() == 3) {
dots.set(1);
}
for (int i = 0; i < dots.get(); i++) {
builder.append('.');
}
builder.append(count.incrementAndGet());
String message = builder.toString();
template.convertAndSend(fanout.getName(), "", message);
System.out.println(" [x] Sent '" + message + "'");
}
}
消费者：
public class Tut3Receiver {
@RabbitListener(queues = "#{autoDeleteQueue1.name}")
public void receive1(String in) throws InterruptedException {
receive(in, 1);
}
@RabbitListener(queues = "#{autoDeleteQueue2.name}")
public void receive2(String in) throws InterruptedException {
receive(in, 2);
}
public void receive(String in, int receiver) throws InterruptedException {
StopWatch watch = new StopWatch();
watch.start();
System.out.println("instance " + receiver + " [x] Received '" + in + "'");
doWork(in);
watch.stop();
System.out.println("instance " + receiver + " [x] Done in "
+ watch.getTotalTimeSeconds() + "s");
}
private void doWork(String in) throws InterruptedException {
for (char ch : in.toCharArray()) {
if (ch == '.') {
Thread.sleep(1000);
}
}
}
}
交换机、匿名队列、绑定，生产者、消费者注入容器；
public class Tut3Config {
@Bean
public FanoutExchange fanout() {
return new FanoutExchange("tut.fanout");
}
private static class ReceiverConfig {
@Bean
public Queue autoDeleteQueue1() {
return new AnonymousQueue();
}
@Bean
public Queue autoDeleteQueue2() {
return new AnonymousQueue();
}
@Bean
public Binding binding1(FanoutExchange fanout,
Queue autoDeleteQueue1) {
return BindingBuilder.bind(autoDeleteQueue1).to(fanout);
}
@Bean
public Binding binding2(FanoutExchange fanout,
Queue autoDeleteQueue2) {
return BindingBuilder.bind(autoDeleteQueue2).to(fanout);
}
@Bean
public Tut3Receiver receiver() {
return new Tut3Receiver();
}
}
@Bean
public Tut3Sender sender() {
return new Tut3Sender();
}
}
运行结果：
instance 1 [x] Received 'Hello.1'
instance 2 [x] Received 'Hello.1'
instance 2 [x] Done in 1.0057994s
instance 1 [x] Done in 1.0058073s
....
模拟Spring容器发布ContextRefreshedEvent事件
通常情况下，业务开发中，经常会监听该事件做扩展，例如初始化数据， 打印日志等等；
生产者：
public class AppContextSender {
@Autowired
RabbitTemplate rabbitTemplate;
@Scheduled(fixedDelay = 1000, initialDelay = 500)
public void publishContextRefreshEvent() {
rabbitTemplate.convertAndSend("contextRefreshedExchange", "", "publish refreshed event");
}
}
消费者：
@RabbitListener(queues = {"initQueue"})
public class InitContextRefreshedConsumer {
@RabbitHandler
public void consum(String in) {
System.out.println("init :"+in);
}
}
@RabbitListener(queues = "logQueue")
public class LogContextRefreshedConsumer {
@RabbitHandler
public void consum(String in) {
System.out.println("log : "+in);
}
}
交换机、队列、绑定、生产者、消费者注入容器：
@Configuration
public class ContextRefreshedConfig {
@Bean
public FanoutExchange contextRefreshedExchange(){
return new FanoutExchange("contextRefreshedExchange");
}
@Bean
public AppContextSender appContextSender() {
return new AppContextSender();
}
public static class ConsumerConfig {
@Bean
public Queue initQueue() {
return new Queue("initQueue");
}
@Bean
public Queue logQueue() {
return new Queue("logQueue");
}
@Bean
public Binding initBinding(Queue initQueue, FanoutExchange contextRefreshedExchange) {
return BindingBuilder.bind(initQueue).to(contextRefreshedExchange);
}
@Bean
public Binding logBinding(Queue logQueue, FanoutExchange contextRefreshedExchange) {
return BindingBuilder.bind(logQueue).to(contextRefreshedExchange);
}
@Bean
public InitContextRefreshedConsumer initContextRefreshedConsumer() {
return new InitContextRefreshedConsumer();
}
@Bean
public LogContextRefreshedConsumer logContextRefreshedConsumer() {
return new LogContextRefreshedConsumer();
}
}
}
log : publish refreshed event
init :publish refreshed event
log : publish refreshed event
init :publish refreshed event
…
Direct直接模式
- 交换器绑定多个队列，每个绑定关系有自己的路由键；
- 之前业务开发中、有一个交换机、绑定了两个队列，一个队列用来发送邮件，一个队列用来发送短信， 像广播模式下，如果只想发邮件，则没法t做到，使用direct模式和工作模式则可以做到， 最后使用了direct
生产者：
public class BaseServiceSender {
@Autowired
private RabbitTemplate template;
@Autowired
private DirectExchange messageExchange;
AtomicInteger index = new AtomicInteger(0);
AtomicInteger count = new AtomicInteger(0);
private final String[] keys = {"sms", "mail"};
@Scheduled(fixedDelay = 1000, initialDelay = 500)
public void send() {
//短信
String sms = "{userName: xxx; phone:xxx}";
template.convertAndSend(messageExchange.getName(), "sms", sms);
//邮件
String mail = "{userName: xxx; mail:xxx}";
template.convertAndSend(messageExchange.getName(), "mail", mail);
}
}
消费者：
@RabbitListener(queues = "mailQueue")
public class MailConsumer {
@RabbitHandler
public void consum(String in) {
System.out.println("send mail : " + in);
}
}
@RabbitListener(queues = "smsQueue")
public class SmsConsumer {
@RabbitHandler
public void consum(String in) {
System.out.println("send sms : " + in);
}
}
交换机、队列，绑定、消费者，生产者注入容器：
@Configuration
public class DirectConfig {
@Bean
public DirectExchange messageExchange() {
return new DirectExchange("messageExchange");
}
@Bean
public BaseServiceSender baseServiceSender() {
return new BaseServiceSender();
}
public static class ConsumerGroup {
@Bean
public MailConsumer mailConsumer() {
return new MailConsumer();
}
@Bean
public SmsConsumer smsConsumer() {
return new SmsConsumer();
}
@Bean
public Queue mailQueue() {
return new Queue("mailQueue");
}
@Bean
public Queue smsQueue() {
return new Queue("smsQueue");
}
@Bean
public Binding smsBinding(DirectExchange messageExchange, Queue smsQueue){
return BindingBuilder.bind(smsQueue).to(messageExchange).with("sms");
}
@Bean
public Binding mailBinding(DirectExchange messageExchange, Queue mailQueue){
return BindingBuilder.bind(mailQueue).to(messageExchange).with("mail");
}
}
}
运行结果
send mail : {userName: xxx; mail:xxx}
send sms : {userName: xxx; phone:xxx}
send sms : {userName: xxx; phone:xxx}
send mail : {userName: xxx; mail:xxx}
…
Topic主题模式
- 发送到主题交换的消息不能有任意routing_key
-
- 它必须是单词列表，由点分隔。这 单词可以是任何东西，一些有效的路由密钥示例： “stock.usd.nyse”， “nyse.vmw”， “quick.orange.rabbit”。可以有 路由密钥中随心所欲地包含多个单词，最多可达 255 个 字节。
- 绑定密钥也必须采用相同的形式。主题交换背后的逻辑类似于直接交换 - 发送的消息带有 特定的路由键将被传递到所有队列 绑定匹配的绑定键
- *（星号）可以代替一个词。
- #（哈希）可以替换零个或多个单词。
若是消息指定的路由键为"xxx.orange.xxx"， 则会匹配到Q1, 若是"lazy.xxx.xx"则是Q2;
生产者：
public class Tut5Sender {
@Autowired
private RabbitTemplate template;
@Autowired
private TopicExchange topic;
AtomicInteger index = new AtomicInteger(0);
AtomicInteger count = new AtomicInteger(0);
private final String[] keys = {"quick.orange.rabbit", "lazy.orange.elephant", "quick.orange.fox",
"lazy.brown.fox", "lazy.pink.rabbit", "quick.brown.fox"};
@Scheduled(fixedDelay = 1000, initialDelay = 500)
public void send() {
StringBuilder builder = new StringBuilder("Hello to ");
if (this.index.incrementAndGet() == keys.length) {
this.index.set(0);
}
String key = keys[this.index.get()];
builder.append(key).append(' ');
builder.append(this.count.incrementAndGet());
String message = builder.toString();
template.convertAndSend(topic.getName(), key, message);
System.out.println(" [x] Sent '" + message + "'");
}
}
消费者：
public class Tut5Receiver {
@RabbitListener(queues = "#{autoDeleteQueue1.name}")
public void receive1(String in) throws InterruptedException {
receive(in, 1);
}
@RabbitListener(queues = "#{autoDeleteQueue2.name}")
public void receive2(String in) throws InterruptedException {
receive(in, 2);
}
public void receive(String in, int receiver) throws
InterruptedException {
StopWatch watch = new StopWatch();
watch.start();
System.out.println("instance " + receiver + " [x] Received '"
+ in + "'");
doWork(in);
watch.stop();
System.out.println("instance " + receiver + " [x] Done in "
+ watch.getTotalTimeSeconds() + "s");
}
private void doWork(String in) throws InterruptedException {
for (char ch : in.toCharArray()) {
if (ch == '.') {
Thread.sleep(1000);
}
}
}
}
交换器，队列，绑定、生产者，消费者注入容器：
@Configuration
public class Tut5Config {
@Bean
public TopicExchange topic() {
return new TopicExchange("tut.topic");
}
private static class ReceiverConfig {
@Bean
public Tut5Receiver receiver() {
return new Tut5Receiver();
}
@Bean
public Queue autoDeleteQueue1() {
return new AnonymousQueue();
}
@Bean
public Queue autoDeleteQueue2() {
return new AnonymousQueue();
}
@Bean
public Binding binding1a(TopicExchange topic,
Queue autoDeleteQueue1) {
return BindingBuilder.bind(autoDeleteQueue1)
.to(topic)
.with("*.orange.*");
}
@Bean
public Binding binding1b(TopicExchange topic,
Queue autoDeleteQueue1) {
return BindingBuilder.bind(autoDeleteQueue1)
.to(topic)
.with("*.*.rabbit");
}
@Bean
public Binding binding2a(TopicExchange topic,
Queue autoDeleteQueue2) {
return BindingBuilder.bind(autoDeleteQueue2)
.to(topic)
.with("lazy.#");
}
}
@Bean
public Tut5Sender sender() {
return new Tut5Sender();
}
}
运行结果：
[x] Sent ‘Hello to lazy.orange.elephant 1’
instance 2 [x] Received ‘Hello to lazy.orange.elephant 1’
instance 1 [x] Received ‘Hello to lazy.orange.elephant 1’
[x] Sent ‘Hello to quick.orange.fox 2’
[x] Sent ‘Hello to lazy.brown.fox 3’
instance 1 [x] Done in 2.0110456s
…文章来源：https://www.toymoban.com/news/detail-629397.html
RPC远程过程调用
RabbitMQ也实现了RPC的功能，但是业务开发中，根本没有使用场景，RPC要么使用Dubbo, 要么使用OpenFeign, 使用RabbitMQ做RPC的信息，目前都没有看到；文章来源地址https://www.toymoban.com/news/detail-629397.html
总结
- 就目前来说、工作队列、发布订阅两个模式，业务开发中会使用到，其他的消息场景很少见。
- 底层是基于RabbitMQ-client做的封装出RabbitTempldate使用；除非远古项目，否则不推荐使用RabbitMQ-Client原生API写，太费时间了。我写了一会就放弃了
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