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。

2.1 顺序消息生产

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package org.apache.rocketmq.example.order2;

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.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;

/**
* Producer,发送顺序消息
*/
public class Producer {

public static void main(String[] args) throws Exception {
DefaultMQProducer producer = new DefaultMQProducer("please_rename_unique_group_name");

producer.setNamesrvAddr("127.0.0.1:9876");

producer.start();

String[] tags = new String[]{"TagA", "TagC", "TagD"};

// 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++) {
// 加个时间前缀
String body = dateStr + " Hello RocketMQ " + orderList.get(i);
Message msg = new Message("TopicTest", tags[i % tags.length], "KEY" + i, body.getBytes());

SendResult sendResult = producer.send(msg, new MessageQueueSelector() {
@Override
public MessageQueue select(List<MessageQueue> mqs, Message msg, Object arg) {
Long id = (Long) arg; //根据订单id选择发送queue
long index = id % mqs.size();
return mqs.get((int) index);
}
}, orderList.get(i).getOrderId());//订单id

System.out.println(String.format("SendResult status:%s, queueId:%d, body:%s",
sendResult.getSendStatus(),
sendResult.getMessageQueue().getQueueId(),
body));
}

producer.shutdown();
}

/**
* 订单的步骤
*/
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 + '\'' +
'}';
}
}

/**
* 生成模拟订单数据
*/
private List<OrderStep> buildOrders() {
List<OrderStep> orderList = new ArrayList<OrderStep>();

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;
}
}

2.2 顺序消费消息

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package org.apache.rocketmq.example.order2;

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;

/**
* 顺序消息消费,带事务方式(应用可控制Offset什么时候提交)
*/
public class ConsumerInOrder {

public static void main(String[] args) throws Exception {
DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("please_rename_unique_group_name_3");
consumer.setNamesrvAddr("127.0.0.1:9876");
/**
* 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<br>
* 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("TopicTest", "TagA || TagC || TagD");

consumer.registerMessageListener(new MessageListenerOrderly() {

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 {
//模拟业务逻辑处理中...
TimeUnit.SECONDS.sleep(random.nextInt(10));
} catch (Exception e) {
e.printStackTrace();
}
return ConsumeOrderlyStatus.SUCCESS;
}
});

consumer.start();

System.out.println("Consumer Started.");
}
}

# 最后

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