概要
消息有序指的是可以按照消息的发送顺序来消费(FIFO)。RocketMQ可以严格的保证消息有序,可以分为分区有序或者全局有序。
顺序消费的原理解析,在默认的情况下消息发送会采取Round Robin轮询方式把消息发送到不同的queue(分区队列);而消费消息的时候从多个queue上拉取消息,这种情况发送和消费是不能保证顺序。但是如果控制发送的顺序消息只依次发送到同一个queue中,消费的时候只从这个queue上依次拉取,则就保证了顺序。当发送和消费参与的queue只有一个,则是全局有序;如果多个queue参与,则为分区有序,即相对每个queue,消息都是有序的。
下面用订单进行分区有序的示例。一个订单的顺序流程是:创建、付款、推送、完成。订单号相同的消息会被先后发送到同一个队列中,消费时,同一个OrderId获取到的肯定是同一个队列。
顺序消息生产
package com.floweryu.rocketmq.order;
import org.apache.rocketmq.client.producer.DefaultMQProducer;
import org.apache.rocketmq.client.producer.MessageQueueSelector;
import org.apache.rocketmq.client.producer.SendResult;
import org.apache.rocketmq.common.message.Message;
import org.apache.rocketmq.common.message.MessageQueue;
import java.nio.charset.StandardCharsets;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
/**
* @author Floweryu
* @date 2021/12/5 22:17
* 发送顺序消息
*/
public class Producer {
public static void main(String[] args) throws Exception {
DefaultMQProducer producer = new DefaultMQProducer("order_producer_group");
producer.setNamesrvAddr("106.15.42.148:9876");
producer.start();
String[] tags = new String[]{"TagA", "TagB", "TagC"};
// 订单列表
List<OrderStep> orderList = new Producer().buildOrders();
Date date = new Date();
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
String dateStr = sdf.format(date);
for (int i = 0; i < 10; i++) {
// 添加时间前缀
String body = dateStr + " Hello RocketMQ " + orderList.get(i);
Message msg = new Message("TopicTestInorder", tags[i % tags.length], "KEY" + i, body.getBytes(StandardCharsets.UTF_8));
SendResult sendResult = producer.send(msg, new MessageQueueSelector() {
@Override
public MessageQueue select(List<MessageQueue> mqs, Message msg, Object arg) {
// 根据订单id选择发送的queue
Long id = (Long) arg;
long index = id % mqs.size();
return mqs.get((int) index);
}
}, orderList.get(i).getOrderId());
System.out.printf("SendResult status:%s, queueId:%d, body:%s%n",
sendResult.getSendStatus(),
sendResult.getMessageQueue().getQueueId(),
body);
}
producer.shutdown();
}
private static class OrderStep {
private long orderId;
private String desc;
public long getOrderId() {
return orderId;
}
public void setOrderId(long orderId) {
this.orderId = orderId;
}
public String getDesc() {
return desc;
}
public void setDesc(String desc) {
this.desc = desc;
}
@Override
public String toString() {
return "OrderStep{" +
"orderId=" + orderId +
", desc='" + desc + '\'' +
'}';
}
}
/**
* 生成模拟订单的数据
*/
private List<OrderStep> buildOrders() {
List<OrderStep> orderList = new ArrayList<>();
OrderStep orderDemo = new OrderStep();
orderDemo.setOrderId(15103111039L);
orderDemo.setDesc("创建");
orderList.add(orderDemo);
orderDemo = new OrderStep();
orderDemo.setOrderId(15103111065L);
orderDemo.setDesc("创建");
orderList.add(orderDemo);
orderDemo = new OrderStep();
orderDemo.setOrderId(15103111039L);
orderDemo.setDesc("付款");
orderList.add(orderDemo);
orderDemo = new OrderStep();
orderDemo.setOrderId(15103117235L);
orderDemo.setDesc("创建");
orderList.add(orderDemo);
orderDemo = new OrderStep();
orderDemo.setOrderId(15103111065L);
orderDemo.setDesc("付款");
orderList.add(orderDemo);
orderDemo = new OrderStep();
orderDemo.setOrderId(15103117235L);
orderDemo.setDesc("付款");
orderList.add(orderDemo);
orderDemo = new OrderStep();
orderDemo.setOrderId(15103111065L);
orderDemo.setDesc("完成");
orderList.add(orderDemo);
orderDemo = new OrderStep();
orderDemo.setOrderId(15103111039L);
orderDemo.setDesc("推送");
orderList.add(orderDemo);
orderDemo = new OrderStep();
orderDemo.setOrderId(15103117235L);
orderDemo.setDesc("完成");
orderList.add(orderDemo);
orderDemo = new OrderStep();
orderDemo.setOrderId(15103111039L);
orderDemo.setDesc("完成");
orderList.add(orderDemo);
return orderList;
}
}
顺序消息消费
package com.floweryu.rocketmq.order;
import org.apache.rocketmq.client.consumer.DefaultMQPushConsumer;
import org.apache.rocketmq.client.consumer.listener.ConsumeOrderlyContext;
import org.apache.rocketmq.client.consumer.listener.ConsumeOrderlyStatus;
import org.apache.rocketmq.client.consumer.listener.MessageListenerOrderly;
import org.apache.rocketmq.common.consumer.ConsumeFromWhere;
import org.apache.rocketmq.common.message.MessageExt;
import java.util.List;
import java.util.Random;
import java.util.concurrent.TimeUnit;
/**
* @author Floweryu
* @date 2021/12/5 23:03
*/
public class ConsumerInOrder {
public static void main(String[] args) throws Exception {
DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("inorder_consumer_group");
consumer.setNamesrvAddr("106.15.42.148:9876");
/**
* 设置Consumer第一次启动是从队列头部开始消费还是队列尾部开始消费
* 如果非第一次启动,那么按照上次消费的位置继续消费
*/
consumer.setConsumeFromWhere(ConsumeFromWhere.CONSUME_FROM_FIRST_OFFSET);
consumer.subscribe("TopicTestInorder", "TagA || TagB || TagC");
consumer.registerMessageListener(new MessageListenerOrderly() {
final Random random = new Random();
@Override
public ConsumeOrderlyStatus consumeMessage(List<MessageExt> msgs, ConsumeOrderlyContext context) {
context.setAutoCommit(true);
for (MessageExt msg : msgs) {
// 可以看到每个queue有唯一的consume线程来消费, 订单对每个queue(分区)有序
System.out.println("consumeThread=" + Thread.currentThread().getName() + "queueId=" + msg.getQueueId() + ", content:" + new String(msg.getBody()));
}
try {
TimeUnit.SECONDS.sleep(random.nextInt(10));
} catch (Exception e) {
e.printStackTrace();
}
return ConsumeOrderlyStatus.SUCCESS;
}
});
consumer.start();
System.out.println("Consumer start..");
}
}
消费输出:
注意
消费的消息顺序,在本例中和消息在List中顺序一致,即遵循先进先出的原则,谁先进队列,谁就先消费。
下图是将尾号为39的订单的付款动作,放在消息列表的最后,消费者输出消息如下: