核心知识之RocketMQ顺序消息讲解
- 简介:讲解RocketMQ顺序消息的使用和讲解
- 生产端保证发送消息有序,且发送到同一个Topic的同个queue里面,RocketMQ的确是能保证FIFO的
例子:订单的顺序流程是:创建、付款、物流、完成,订单号相同的消息会被先后发送到同一个队列中,
根据MessageQueueSelector里面自定义策略,根据同个业务id放置到同个queue里面,如订单号取模运算再放到selector中,同一个模的值都会投递到同一条queue
public MessageQueue select(List<MessageQueue> mqs, Message msg, Object arg) {
//如果是订单号是字符串,则进行hash,得到一个hash值
Long id = (Long) arg;
long index = id % mqs.size();
return mqs.get((int)index);
}
- 消费端要在保证消费同个topic里的同个队列,不应该用MessageListenerConcurrently,
= 应该使用MessageListenerOrderly,自带单线程消费消息,不能再Consumer端再使用多线程去消费,消费端分配到的queue数量是固定的,集群消会锁住当前正在消费的队列集合的消息,所以会保证顺序消费。
官方例子 https://rocketmq.apache.org/docs/order-example/
案例实战之RocketMQ顺序消息消息者消费实战
简介:讲解使用代码编写案例,进行RocketMQ顺序消息消费实战
MessageListenerConcurrently
MessageListenerOrderly
Consumer会平均分配queue的数量
并不是简单禁止并发处理,而是为每个Consumer Quene加个锁,消费每个
消息前,需要获得这个消息所在的Queue的锁,这样同个时间,同个Queue的
消息不被并发消费,但是不同Queue的消息可以并发处理
扩展思维:为什么高并发情况下ConcurrentHashMap比HashTable和HashMap更高效且线程安全?
提示:分段锁Segment
示例代码
- controller代码
@RequestMapping("/api/v1/pay_cb")
public Object callback() throws Exception {
// 将消息发送到指定的队列
DefaultMQProducer producer = payProducer.getProducer();
List<ProductOrder> productList = ProductOrder.getProductList();
for (int i = 0; i < productList.size(); i++) {
Message msg = new Message(JmsConfig.TOPIC,"",productList.get(i).getOrderId() + "",productList.get(i).toString().getBytes());
producer.send(msg, new MessageQueueSelector() {
@Override
public MessageQueue select(List<MessageQueue> list, Message message, Object o) {
long id = (long) o;
long l = id % list.size();
return list.get((int) l);
}
}, productList.get(i).getOrderId(), new SendCallback() {
@Override
public void onSuccess(SendResult sendResult) {
}
@Override
public void onException(Throwable throwable) {
}
});
}
return new HashMap<>();
}
- 生产消息
package net.lhw.lhwmq.jms;
import org.apache.rocketmq.client.exception.MQClientException;
import org.apache.rocketmq.client.producer.DefaultMQProducer;
import org.springframework.stereotype.Component;
@Component
public class PayProducer {
private DefaultMQProducer producer;
private String producerGroup = "pay_group_producer";
public PayProducer(){
producer = new DefaultMQProducer(producerGroup);
producer.setVipChannelEnabled(false);
//指定NameServer地址,多个地址以 ; 隔开
//如 producer.setNamesrvAddr("192.168.100.141:9876;192.168.100.142:9876;192.168.100.149:9876");
producer.setNamesrvAddr(JmsConfig.NAME_SERVER);
start();
}
public DefaultMQProducer getProducer(){
return this.producer;
}
/**
* 对象在使用之前必须要调用一次,只能初始化一次
*/
public void start(){
try {
this.producer.start();
} catch (MQClientException e) {
e.printStackTrace();
}
}
/**
* 一般在应用上下文,使用上下文监听器,进行关闭
*/
public void shutdown(){
this.producer.shutdown();
}
}
- 消费消息
package net.lhw.lhwmq.jms;
import org.apache.rocketmq.client.consumer.DefaultMQPushConsumer;
import org.apache.rocketmq.client.consumer.listener.*;
import org.apache.rocketmq.client.exception.MQClientException;
import org.apache.rocketmq.common.consumer.ConsumeFromWhere;
import org.apache.rocketmq.common.message.Message;
import org.apache.rocketmq.common.message.MessageExt;
import org.springframework.stereotype.Component;
import java.io.UnsupportedEncodingException;
import java.util.List;
@Component
public class PayConsumer {
private DefaultMQPushConsumer consumer;
private String consumerGroup = "pay_consumer_group";
public PayConsumer() throws MQClientException {
consumer = new DefaultMQPushConsumer(consumerGroup);
consumer.setNamesrvAddr(JmsConfig.NAME_SERVER);
// 设置从最后一个开始消费
consumer.setConsumeFromWhere(ConsumeFromWhere.CONSUME_FROM_LAST_OFFSET);
consumer.subscribe(JmsConfig.TOPIC, "*");
/*
* 方法一
* */
consumer.registerMessageListener(new MessageListenerOrderly() {
@Override
public ConsumeOrderlyStatus consumeMessage(List<MessageExt> list, ConsumeOrderlyContext consumeOrderlyContext) {
Message msg = list.get(0);
try {
String topic = msg.getTopic();
String body = new String(msg.getBody(), "utf-8");
String tags = msg.getTags();
String keys = msg.getKeys();
System.out.println("topic=" + topic + ", tags=" + tags + ", keys=" + keys + ", msg=" + body);
return ConsumeOrderlyStatus.SUCCESS;
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
return ConsumeOrderlyStatus.SUSPEND_CURRENT_QUEUE_A_MOMENT;
}
}
});
consumer.start();
System.out.println("consumer start ...");
}
}
- 实体类
package net.lhw.lhwmq.domain;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
public class ProductOrder implements Serializable {
private long orderId;
private String orderType;
public ProductOrder(){}
public ProductOrder(long orderId, String orderType){
this.orderId = orderId;
this.orderType = orderType;
}
public long getOrderId() {
return orderId;
}
public void setOrderId(long orderId) {
this.orderId = orderId;
}
public String getOrderType() {
return orderType;
}
public void setOrderType(String orderType) {
this.orderType = orderType;
}
@Override
public String toString() {
return "ProductOrder{" +
"orderId=" + orderId +
", orderType='" + orderType + '\'' +
'}';
}
public static List<ProductOrder> getProductList(){
List<ProductOrder> list = new ArrayList<>();
list.add(new ProductOrder(111l, "创建订单"));
list.add(new ProductOrder(222l, "创建订单"));
list.add(new ProductOrder(333l, "创建订单"));
list.add(new ProductOrder(111l, "支付订单"));
list.add(new ProductOrder(222l, "支付订单"));
list.add(new ProductOrder(333l, "支付订单"));
list.add(new ProductOrder(111l, "完成订单"));
list.add(new ProductOrder(222l, "完成订单"));
list.add(new ProductOrder(333l, "完成订单"));
return list;
}
}
代码运行结果
- 运行两个 消费者终端
- 消费和生产结果
- 生产消息
producer: SendResult [sendStatus=SEND_OK, msgId=A9FE7E08062F18B4AAC208A4C6D00009, offsetMsgId=2F68950D00002A9F00000000000108D5, messageQueue=MessageQueue [topic=pay_prder_topic, brokerName=broker-a, queueId=3], queueOffset=93]
producer: SendResult [sendStatus=SEND_OK, msgId=A9FE7E08062F18B4AAC208A4C6D0000A, offsetMsgId=2F68950D00002A9F00000000000109AF, messageQueue=MessageQueue [topic=pay_prder_topic, brokerName=broker-a, queueId=2], queueOffset=93]
producer: SendResult [sendStatus=SEND_OK, msgId=A9FE7E08062F18B4AAC208A4C6D0000B, offsetMsgId=2F68950D00002A9F0000000000010A89, messageQueue=MessageQueue [topic=pay_prder_topic, brokerName=broker-a, queueId=1], queueOffset=93]
producer: SendResult [sendStatus=SEND_OK, msgId=A9FE7E08062F18B4AAC208A4C6D0000C, offsetMsgId=2F68950D00002A9F0000000000010B63, messageQueue=MessageQueue [topic=pay_prder_topic, brokerName=broker-a, queueId=3], queueOffset=94]
producer: SendResult [sendStatus=SEND_OK, msgId=A9FE7E08062F18B4AAC208A4C6D0000D, offsetMsgId=2F68950D00002A9F0000000000010C3D, messageQueue=MessageQueue [topic=pay_prder_topic, brokerName=broker-a, queueId=2], queueOffset=94]
producer: SendResult [sendStatus=SEND_OK, msgId=A9FE7E08062F18B4AAC208A4C6D0000E, offsetMsgId=2F68950D00002A9F0000000000010D17, messageQueue=MessageQueue [topic=pay_prder_topic, brokerName=broker-a, queueId=1], queueOffset=94]
producer: SendResult [sendStatus=SEND_OK, msgId=A9FE7E08062F18B4AAC208A4C6D0000F, offsetMsgId=2F68950D00002A9F0000000000010DF1, messageQueue=MessageQueue [topic=pay_prder_topic, brokerName=broker-a, queueId=2], queueOffset=95]
producer: SendResult [sendStatus=SEND_OK, msgId=A9FE7E08062F18B4AAC208A4C6D00011, offsetMsgId=2F68950D00002A9F0000000000010FA5, messageQueue=MessageQueue [topic=pay_prder_topic, brokerName=broker-a, queueId=3], queueOffset=95]
producer: SendResult [sendStatus=SEND_OK, msgId=A9FE7E08062F18B4AAC208A4C6D00010, offsetMsgId=2F68950D00002A9F0000000000010ECB, messageQueue=MessageQueue [topic=pay_prder_topic, brokerName=broker-a, queueId=1], queueOffset=95]
- 两个客户端的消费记录
客户端一
consumer : topic=pay_prder_topic, tags=null, keys=333, msg=ProductOrder{orderId=333, orderType='创建订单'}
consumer : topic=pay_prder_topic, tags=null, keys=333, msg=ProductOrder{orderId=333, orderType='支付订单'}
consumer : topic=pay_prder_topic, tags=null, keys=333, msg=ProductOrder{orderId=333, orderType='完成订单'}
consumer : topic=pay_prder_topic, tags=null, keys=333, msg=ProductOrder{orderId=333, orderType='创建订单'}
consumer : topic=pay_prder_topic, tags=null, keys=333, msg=ProductOrder{orderId=333, orderType='支付订单'}
consumer : topic=pay_prder_topic, tags=null, keys=333, msg=ProductOrder{orderId=333, orderType='完成订单'}
客户端二
consumer : topic=pay_prder_topic, tags=null, keys=111, msg=ProductOrder{orderId=111, orderType='创建订单'}
consumer : topic=pay_prder_topic, tags=null, keys=222, msg=ProductOrder{orderId=222, orderType='创建订单'}
consumer : topic=pay_prder_topic, tags=null, keys=111, msg=ProductOrder{orderId=111, orderType='支付订单'}
consumer : topic=pay_prder_topic, tags=null, keys=111, msg=ProductOrder{orderId=111, orderType='完成订单'}
consumer : topic=pay_prder_topic, tags=null, keys=222, msg=ProductOrder{orderId=222, orderType='支付订单'}
consumer : topic=pay_prder_topic, tags=null, keys=222, msg=ProductOrder{orderId=222, orderType='完成订单'}
我们看到,生产还是消费消息,都是按顺序进行的。
使用场景
1、订单的创建 支付 和完成等有严格顺序的业务逻辑