• RocketMQ(七 )为什么同一个消费组设置不同tag会出现奇怪现象


    一、问题复现

    1、描述

    两个一样的Consumer Group的Consumer订阅同一个Topic,但是是不同的tag,Consumer1订阅Topic的tag1,Consumer2订阅Topic的tag2,然后分别启动。这时候往Topic的tag1里发送10条数据,Topic的tag2里发送10条。目测应该是Consumer1和Consumer2分别收到对应的10条消息。结果却是只有Consumer2收到了消息,而且只收到了4-6条消息,不固定。

    2、代码

    2.1、Consumer

    public class Consumer {
        public static void main(String[] args) throws MQClientException {
            DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("test-consumer");
            consumer.setNamesrvAddr("124.57.180.156:9876");
            consumer.subscribe("TopicTest2","tag1");
            consumer.registerMessageListener(new MessageListenerConcurrently() {
                public ConsumeConcurrentlyStatus consumeMessage(
                        List<MessageExt> msgs, ConsumeConcurrentlyContext context) {
                    MessageExt msg = msgs.get(0);
                    System.out.println(msg.getTags());
                    return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
                }
            });
            consumer.start();
            System.out.println("ConsumerStarted.");
        }
    }

    启动这个订阅了TopicTest2的tag1标签的Consumer,然后将tag1改为tag2再次启动Consumer。这就相当于启动了两个Consumer进程,一个订阅了TopicTest2的tag1标签,另一个订阅了TopicTest2的tag2标签。

    2.2、Producer

    public class Producer {
        public static void main(String[] args) throws MQClientException {
            final DefaultMQProducer producer = new DefaultMQProducer("test-producer");
            producer.setNamesrvAddr("124.57.180.156:9876");
            producer.start();
    
            for (int i = 0; i < 10; i++){
                try {
                    Message msg = new Message("TopicTest2", "tag1", ("Hello tag1 - "+i).getBytes());
                    SendResult sendResult = producer.send(msg);
                    System.out.println(sendResult);
                }catch(Exception e) {
                    e.printStackTrace();
                }
            }
        }
    }

    启动Producer,往TopicTest2的tag1里发10条消息。再次将tag1改为tag2,然后再次启动Producer进行发送,这样就是TopicTest2的tag1下有10条消息,TopicTest2的tag2下也有10条消息。

    3、结果

    Consumer和Producer都启动后,发现如下:

    • Producer发送了20条消息正常。
    • Consumer1没有消费到tag1下的数据
    • Consumer2消费了一半(不一定是几条,有时候5条,有时候6条的)消息。

    二、问题答案

    • 首先这是Broker决定的,而不是Consumer端决定的

    之前看过一篇文章写的有理有据,写的是Consumer端,还贴出了debug的源码,说后者覆盖了前者,但是我想说:你启动了两个独立的Consumer,那是两个独立的进程,根本不存在覆盖不覆盖的问题,那就是独立的。JVM就一个。又不是共享的JVM,何来覆盖?

    • Consumer端发心跳给Broker,Broker收到后存到consumerTable里(就是个Map),key是GroupName,value是ConsumerGroupInfo。
    • ConsumerGroupInfo里面是包含topic等信息的,但是问题就出在上一步骤,key是groupName,你同GroupName的话Broker心跳最后收到的Consumer会覆盖前者的。相当于如下代码:
    map.put(groupName, ConsumerGroupInfo);

    这样同key,肯定产生了覆盖。所以Consumer1不会收到任何消息,但是Consumer2为什么只收到了一半(不固定)消息呢?

    那是因为:你是集群模式消费,它会负载均衡分配到各个节点去消费,所以一半消息(不固定个数)跑到了Consumer1上,结果Consumer1订阅的是tag1,所以不会任何输出。

    如果换成BROADCASTING,那绝逼后者会收到全部消息,而不是一半,因为广播是广播全部Consumer。

    三、源码验证

    1、调用链

    # 核心在于如下这个方法
    org.apache.rocketmq.broker.client.ConsumerManager#registerConsumer()
        
    # 关键调用链如下
    # 入口是Broker启动的时候
    org.apache.rocketmq.broker.BrokerStartup#start()
    org.apache.rocketmq.broker.BrokerController#start()
    org.apache.rocketmq.remoting.netty.NettyRemotingServer#start() 
    org.apache.rocketmq.remoting.netty.NettyRemotingServer#prepareSharableHandlers()
    org.apache.rocketmq.remoting.netty.NettyRemotingServer.NettyServerHandler#channelRead0()
    org.apache.rocketmq.remoting.netty.NettyRemotingAbstract#processMessageReceived()
    org.apache.rocketmq.remoting.netty.NettyRemotingAbstract#processRequestCommand()
    org.apache.rocketmq.broker.processor.ClientManageProcessor#processRequest()
    org.apache.rocketmq.broker.processor.ClientManageProcessor#heartBeat()
    org.apache.rocketmq.broker.client.ConsumerManager#registerConsumer()

    2、源码

    2.1、registerConsumer

    /**
     * Consumer信息
     */
    public class ConsumerGroupInfo {
        // 组名
        private final String groupName;
        // topic信息,比如topic、tag等
        private final ConcurrentMap<String/* Topic */, SubscriptionData> subscriptionTable =
            new ConcurrentHashMap<String, SubscriptionData>();
        // 客户端信息,比如clientId等
        private final ConcurrentMap<Channel, ClientChannelInfo> channelInfoTable =
            new ConcurrentHashMap<Channel, ClientChannelInfo>(16);
        // PULL/PUSH
        private volatile ConsumeType consumeType;
        // 消费模式:BROADCASTING/CLUSTERING
        private volatile MessageModel messageModel;
        // 消费到哪了
        private volatile ConsumeFromWhere consumeFromWhere;
    }
    
    /**
     * 通过心跳将Consumer信息注册到Broker端。
     */
    public boolean registerConsumer(final String group, final ClientChannelInfo clientChannelInfo,
            ConsumeType consumeType, MessageModel messageModel, ConsumeFromWhere consumeFromWhere,
            final Set<SubscriptionData> subList, boolean isNotifyConsumerIdsChangedEnable) {
    
        // consumerTable:维护所有的Consumer
        ConsumerGroupInfo consumerGroupInfo = this.consumerTable.get(group);
        // 如果没有Consumer,则put到map里
        if (null == consumerGroupInfo) {
            ConsumerGroupInfo tmp = new ConsumerGroupInfo(group, consumeType, messageModel, consumeFromWhere);
            // put到map里
            ConsumerGroupInfo prev = this.consumerTable.putIfAbsent(group, tmp);
            consumerGroupInfo = prev != null ? prev : tmp;
        }
    
        // 更新Consumer信息,客户端信息
        boolean r1 =
            consumerGroupInfo.updateChannel(clientChannelInfo, consumeType, messageModel,
                                            consumeFromWhere);
        // 更新订阅Topic信息
        boolean r2 = consumerGroupInfo.updateSubscription(subList);
    
        if (r1 || r2) {
            if (isNotifyConsumerIdsChangedEnable) {
                this.consumerIdsChangeListener.handle(ConsumerGroupEvent.CHANGE, group, consumerGroupInfo.getAllChannel());
            }
        }
    
        this.consumerIdsChangeListener.handle(ConsumerGroupEvent.REGISTER, group, subList);
    
        return r1 || r2;
    }

    从这一步可以看出消费者信息是以groupName为key,ConsumerGroupInfo为value存到map(consumerTable)里的,那很明显了,后者肯定会覆盖前者的,因为key是一样的。而后者的tag是tag2,那肯定覆盖了前者的tag1,这部分是存到ConsumerGroupInfo的subscriptionTable里面的

    private final ConcurrentMap<String/* Topic */, SubscriptionData> subscriptionTable =
        new ConcurrentHashMap<String, SubscriptionData>();

    SubscriptionData包含了topic等信息

    public class SubscriptionData implements Comparable<SubscriptionData> {
        // topic
        private String topic;
        private String subString;
        // tags
        private Set<String> tagsSet = new HashSet<String>();
        private Set<Integer> codeSet = new HashSet<Integer>();
    }

    2.2、两个问题

    1.topic、tag等信息是怎么覆盖的?

    boolean r1 = consumerGroupInfo.updateChannel(clientChannelInfo, consumeType, messageModel,consumeFromWhere);
    /**
     * 其实很简单,就是以topic为key,SubscriptionData为value。而SubscriptionData里包含了tags信息,所以直接覆盖掉
     */
    public boolean updateSubscription(final Set<SubscriptionData> subList) {
        for (SubscriptionData sub : subList) {
            SubscriptionData old = this.subscriptionTable.get(sub.getTopic());
            if (old == null) {
                SubscriptionData prev = this.subscriptionTable.putIfAbsent(sub.getTopic(), sub);
            } else if (sub.getSubVersion() > old.getSubVersion()) {
                this.subscriptionTable.put(sub.getTopic(), sub);
            }
        }
    }

    等等,这里好像有新发现ConsumerGroupInfo#subscriptionTable

    // {@link org.apache.rocketmq.broker.client.ConsumerGroupInfo#subscriptionTable}
    private final ConcurrentMap<String/* Topic */, SubscriptionData> subscriptionTable =
            new ConcurrentHashMap<String, SubscriptionData>();

    可以有意外收获就是topic作为map的key,那岂不是一个Consumer可以订阅多个Topic?是的,通过这段源码可以发现是没毛病的,我也测试过。

    2.这么看的话Consumer端只会存在一个进程,因为同组,注册进去就覆盖了呀?

    大哥,注意ConsumerGroupInfo里的channelInfoTable

    // 客户端信息,比如clientId等
    private final ConcurrentMap<Channel, ClientChannelInfo> channelInfoTable =
        new ConcurrentHashMap<Channel, ClientChannelInfo>(16);

    ClientChannelInfo是包含clientId等信息的,代表一个Consumer。注册方法是:

    boolean r2 = consumerGroupInfo.updateSubscription(subList);
    /**
     * 下面是删减后的代码,其实就是以Channel作为key,每个Consumer的Channel是不一样的。所以能存多个Consumer客户端
     */
    public boolean updateChannel(final ClientChannelInfo infoNew, ConsumeType consumeType,
            MessageModel messageModel, ConsumeFromWhere consumeFromWhere) {
        ClientChannelInfo infoOld = this.channelInfoTable.get(infoNew.getChannel());
        if (null == infoOld) {
            ClientChannelInfo prev = this.channelInfoTable.put(infoNew.getChannel(), infoNew);
        }
    }
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  • 原文地址:https://www.cnblogs.com/sxw123/p/13826888.html
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