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这一篇开始讲解moqutte对SUBSCRIBE报文的处理
代码不复杂
public void processSubscribe(Channel channel, MqttSubscribeMessage msg) {
String clientID = NettyUtils.clientID(channel);//从channel里面获取clientId，具体原理看下文
int messageID = messageId(msg);
LOG.info("Processing SUBSCRIBE message. CId={}, messageId={}", clientID, messageID);
RunningSubscription executionKey = new RunningSubscription(clientID, messageID);
SubscriptionState currentStatus = subscriptionInCourse.putIfAbsent(executionKey, SubscriptionState.VERIFIED);
if (currentStatus != null) {
LOG.warn("Client sent another SUBSCRIBE message while this one was being processed CId={}, messageId={}",
clientID, messageID);
return;
}
String username = NettyUtils.userName(channel);
List<MqttTopicSubscription> ackTopics = doVerify(clientID, username, msg);
MqttSubAckMessage ackMessage = doAckMessageFromValidateFilters(ackTopics, messageID);
if (!this.subscriptionInCourse.replace(executionKey, SubscriptionState.VERIFIED, SubscriptionState.STORED)) {
LOG.warn("Client sent another SUBSCRIBE message while the topic filters were being verified CId={}, " +
"messageId={}", clientID, messageID);
return;
}
LOG.info("Creating and storing subscriptions CId={}, messageId={}, topics={}", clientID, messageID, ackTopics);
List<Subscription> newSubscriptions = doStoreSubscription(ackTopics, clientID);
// save session, persist subscriptions from session
for (Subscription subscription : newSubscriptions) {
subscriptions.add(subscription.asClientTopicCouple());
}
LOG.info("Sending SUBACK response CId={}, messageId={}", clientID, messageID);
channel.writeAndFlush(ackMessage);
// fire the persisted messages in session
for (Subscription subscription : newSubscriptions) {
publishRetainedMessagesInSession(subscription, username);
}
boolean success = this.subscriptionInCourse.remove(executionKey, SubscriptionState.STORED);
if (!success) {
LOG.warn("Unable to perform the final subscription state update CId={}, messageId={}", clientID, messageID);
}
}
1.channel里面为什么会存在clientid呢？这个问题也可以这样描述，当连接建立之后，client发布消息的时候，netty接收到socket里面的数据之后，他怎么知道是哪个client的数据呢？这里面就需要确定client与channel的映射关系。moquette是这么做的，
在处理CONNECT的第5步，详见https://blog.51cto.com/13579730/2073630的时候会做如下处理
private void initializeKeepAliveTimeout(Channel channel, MqttConnectMessage msg, final String clientId) {
int keepAlive = msg.variableHeader().keepAliveTimeSeconds();
LOG.info("Configuring connection. CId={}", clientId);
NettyUtils.keepAlive(channel, keepAlive);
// session.attr(NettyUtils.ATTR_KEY_CLEANSESSION).set(msg.variableHeader().isCleanSession());
NettyUtils.cleanSession(channel, msg.variableHeader().isCleanSession());
// used to track the client in the subscription and publishing phases.
// session.attr(NettyUtils.ATTR_KEY_CLIENTID).set(msg.getClientID());
NettyUtils.clientID(channel, clientId);
int idleTime = Math.round(keepAlive * 1.5f);
setIdleTime(channel.pipeline(), idleTime);
if(LOG.isDebugEnabled()){
LOG.debug("The connection has been configured CId={}, keepAlive={}, cleanSession={}, idleTime={}",
clientId, keepAlive, msg.variableHeader().isCleanSession(), idleTime);
}
}
这里面有一步NettyUtils.clientID(channel, clientId);这个不起眼的方法做了将channel与clientId映射的动作，接着跟踪
public static void clientID(Channel channel, String clientID) {
channel.attr(NettyUtils.ATTR_KEY_CLIENTID).set(clientID);
}
原来是把clientId作为一个属性存到了channel里面，因为channel是集成AttributeMap的，所以可以这么做。只要有channel与clientId的映射关系，就好说了，这也就是为什么moquette的NettyMQTTHandler是这样处理的
@Override
public void channelRead(ChannelHandlerContext ctx, Object message) {
MqttMessage msg = (MqttMessage) message;
MqttMessageType messageType = msg.fixedHeader().messageType();
if(LOG.isDebugEnabled())
LOG.debug("Processing MQTT message, type={}", messageType);
try {
switch (messageType) {
case CONNECT:
m_processor.processConnect(ctx.channel(), (MqttConnectMessage) msg);
break;
case SUBSCRIBE:
m_processor.processSubscribe(ctx.channel(), (MqttSubscribeMessage) msg);
break;
case UNSUBSCRIBE:
m_processor.processUnsubscribe(ctx.channel(), (MqttUnsubscribeMessage) msg);
break;
case PUBLISH:
m_processor.processPublish(ctx.channel(), (MqttPublishMessage) msg);
break;
case PUBREC:
m_processor.processPubRec(ctx.channel(), msg);
break;
case PUBCOMP:
m_processor.processPubComp(ctx.channel(), msg);
break;
case PUBREL:
m_processor.processPubRel(ctx.channel(), msg);
break;
case DISCONNECT:
m_processor.processDisconnect(ctx.channel());
break;
case PUBACK:
m_processor.processPubAck(ctx.channel(), (MqttPubAckMessage) msg);
break;
case PINGREQ:
MqttFixedHeader pingHeader = new MqttFixedHeader(
MqttMessageType.PINGRESP,
false,
AT_MOST_ONCE,
false,
0);
MqttMessage pingResp = new MqttMessage(pingHeader);
ctx.writeAndFlush(pingResp);
break;
default:
LOG.error("Unkonwn MessageType:{}", messageType);
break;哪个tcp-socket对应哪个channel由netty负责处理，当client发送数据的时候，netty负责从ChannelHandlerContext取出channel传给相应的业务自定义的handler进行处理。
2.创建一个正在运行中的RunningSubscription对象，之所以要创建这个对象，是为了防止重复订阅，同时到存储了所有的RunningSubscription的ConcurrentMap里面查询所有已经存在这个对象，如果存在，说明是重复的订阅包，则不处理，这里面调用了putIfAbsent方法，同时重写了RunningSubscription的equals方法。packetId和clientID相同时代表是相同的RunningSubscription
3.从channel里面取出用户名，验证该client下的该username是否有权利读取该topic（订阅该topic）的权限，这里贴一下相关的代码进行讲解
rivate List<MqttTopicSubscription> doVerify(String clientID, String username, MqttSubscribeMessage msg) {
ClientSession clientSession = m_sessionsStore.sessionForClient(clientID);
List<MqttTopicSubscription> ackTopics = new ArrayList<>();
final int messageId = messageId(msg);
for (MqttTopicSubscription req : msg.payload().topicSubscriptions()) {
Topic topic = new Topic(req.topicName());
if (!m_authorizator.canRead(topic, username, clientSession.clientID)) {
// send SUBACK with 0x80, the user hasn't credentials to read the topic
LOG.error("Client does not have read permissions on the topic CId={}, username={}, messageId={}, " +
"topic={}", clientID, username, messageId, topic);
ackTopics.add(new MqttTopicSubscription(topic.toString(), FAILURE));
} else {
MqttQoS qos;
if (topic.isValid()) {
LOG.info("Client will be subscribed to the topic CId={}, username={}, messageId={}, topic={}",
clientID, username, messageId, topic);
qos = req.qualityOfService();
} else {
LOG.error("Topic filter is not valid CId={}, username={}, messageId={}, topic={}", clientID,
username, messageId, topic);
qos = FAILURE;
}
ackTopics.add(new MqttTopicSubscription(topic.toString(), qos));
}
}
return ackTopics;
}从报文的payload里面取出所有的订阅请求，遍历，然后验证是否有权限，这个权限是在配置文件里面配置的，详见https://blog.51cto.com/13579730/2072467
如果没有权限，返回SUBACK报文中标记该订阅状态为失败，如果有权限，检查topic是否有效如果有效，获取qos，如果无效标记为失败。
校验之后得到一个List<MqttTopicSubscription>，再根据这个list生成SUBACK
4.将RunningSubscription的状态从VERIFIED修改成STORED，这里面用到了ConcurrentHashMap.replace(key,oldvalue,newvlaue)这个原子操作，如果修改失败表面，这个订阅请求已经存在。
5.开始存储订阅请求，这里存储订阅请求
private List<Subscription> doStoreSubscription(List<MqttTopicSubscription> ackTopics, String clientID) {
ClientSession clientSession = m_sessionsStore.sessionForClient(clientID);
List<Subscription> newSubscriptions = new ArrayList<>();
for (MqttTopicSubscription req : ackTopics) {
// TODO this is SUPER UGLY
if (req.qualityOfService() == FAILURE) {
continue;
}
Subscription newSubscription =
new Subscription(clientID, new Topic(req.topicName()), req.qualityOfService());
clientSession.subscribe(newSubscription);//存储到用户的session里面，用以表明该client订阅了哪些请求
newSubscriptions.add(newSubscription);
}
return newSubscriptions;
}
我们先看存储到用户的session这一步
public boolean subscribe(Subscription newSubscription) {
LOG.info("Adding new subscription. ClientId={}, topics={}, qos={}", newSubscription.getClientId(),
newSubscription.getTopicFilter(), newSubscription.getRequestedQos());
boolean validTopic = newSubscription.getTopicFilter().isValid();
if (!validTopic) {
LOG.warn("The topic filter is not valid. ClientId={}, topics={}", newSubscription.getClientId(),
newSubscription.getTopicFilter());
// send SUBACK with 0x80 for this topic filter
return false;
}
ClientTopicCouple matchingCouple = new ClientTopicCouple(this.clientID, newSubscription.getTopicFilter());
Subscription existingSub = subscriptionsStore.getSubscription(matchingCouple);
// update the selected subscriptions if not present or if has a greater qos
if (existingSub == null || existingSub.getRequestedQos().value() < newSubscription.getRequestedQos().value()) {
if (existingSub != null) {
LOG.info("Subscription already existed with a lower QoS value. It will be updated. ClientId={}, " +
"topics={}, existingQos={}, newQos={}", newSubscription.getClientId(),
newSubscription.getTopicFilter(), existingSub.getRequestedQos(), newSubscription.getRequestedQos());
subscriptions.remove(newSubscription);
}
subscriptions.add(newSubscription);//存储到内存的session
subscriptionsStore.addNewSubscription(newSubscription);//存储到别的地方
}
return true;
}这里面先创建了一个ClientTopicCouple对，然后从订阅集合里面查询是否已经存在这个订阅，如果不存在或者新的订阅的qos要高于就的订阅的qos，则会把订阅添加到订阅集合里面，这里有两个存储，一个是Set<Subscription>，一个是Map<Topic, Subscription> subscriptions（这个在ISessionsStore的具体实现里面）moquette在这里面做了冗余，即内存里面会存一分，同时允许通过ISessionsStore存储到外部。
6.我们接着看processSubscribe，这个方法会返回一个新的list
接着会遍历这个返回的list,存储到SubscriptionsDirectory里面，这个维护所有的client直接的发布订阅关系，是moquette里面一个非常重要的对象了，里面维护者一颗topic树，这个后面单独讲
7.发送SUBACK
8.发布retain消息，这里面也讲解一下，这一步的作用在于，如果一个client发布了新的订阅，那么必须遍历那些retain消息，如果这些新的订阅，确实能够匹配这些retain消息，必须将这些retain消息发送给他们。//这里moquette的处理是遍历map，这样的话，当retain消息特别大的时候，效率是非常低的，会很容易拖垮那些对吞吐率和性能要求比较高的系统的。
private void publishRetainedMessagesInSession(final Subscription newSubscription, String username) {
LOG.info("Retrieving retained messages CId={}, topics={}", newSubscription.getClientId(),
newSubscription.getTopicFilter());
// scans retained messages to be published to the new subscription
// TODO this is ugly, it does a linear scan on potential big dataset
Collection<IMessagesStore.StoredMessage> messages = m_messagesStore.searchMatching(new IMatchingCondition() {
@Override
public boolean match(Topic key) {
return key.match(newSubscription.getTopicFilter());
}
});
if (!messages.isEmpty()) {
LOG.info("Publishing retained messages CId={}, topics={}, messagesNo={}",
newSubscription.getClientId(), newSubscription.getTopicFilter(), messages.size());
}
ClientSession targetSession = m_sessionsStore.sessionForClient(newSubscription.getClientId());
this.internalRepublisher.publishRetained(targetSession, messages);
// notify the Observables
m_interceptor.notifyTopicSubscribed(newSubscription, username);
}另外，用以匹配订阅的topic与retain消息的topic是否匹配的方法也非常不完善。具体的原因大家可以看一下这里
io.moquette.spi.impl.subscriptions.Topic#match，另外注意以下，对于moquette来说有两个对象能够发送消息，分别是MessagesPublisher和InternalRepublisher，这两个类是有区别的，第一个是正常的发消息和遗愿消息，第二个属于重发之前未发送成功的qos1和qos2消息（在client发送connect建立连接的时候）还有一个作用是发送retain消息（在subscribe的时候）。
9.从ConcurrentMap<RunningSubscription, SubscriptionState>移除该订阅请求。
整个RunningSubscription的状态会从VERIFIED到STORED，这代表了整个处理过程的最重要的两个步骤。
重新分析一下第第5步和第6步
我们发现对于Subscribe，实际上是有三个地方存储了的
1.ClientSession里面有一个Set<Subscription> subscriptions
2.MemorySessionStore.里面的Session对象里面的Map<Topic, Subscription> subscriptions
3.SubscriptionsDirectory里面的Treenode里面的Set<ClientTopicCouple> m_subscriptions
这里面我们思考一下为什么要存三分呢？有必要吗？
先说1和2个人觉得冗余的有点没必要，唯一的好处就是查询的时候一个在内存一个在redis等其他存储
，性能稍微好一点，但是这样就会有数据一致性问题，赶紧有点得不偿失，当然也有可能是我没看懂
再说说2和3，关键在这里，我们重看这段逻辑
public boolean subscribe(Subscription newSubscription) {
LOG.info("Adding new subscription. ClientId={}, topics={}, qos={}", newSubscription.getClientId(),
newSubscription.getTopicFilter(), newSubscription.getRequestedQos());
boolean validTopic = newSubscription.getTopicFilter().isValid();
if (!validTopic) {
LOG.warn("The topic filter is not valid. ClientId={}, topics={}", newSubscription.getClientId(),
newSubscription.getTopicFilter());
// send SUBACK with 0x80 for this topic filter
return false;
}
ClientTopicCouple matchingCouple = new ClientTopicCouple(this.clientID, newSubscription.getTopicFilter());
Subscription existingSub = subscriptionsStore.getSubscription(matchingCouple);
// update the selected subscriptions if not present or if has a greater qos
if (existingSub == null || existingSub.getRequestedQos().value() < newSubscription.getRequestedQos().value()) {
if (existingSub != null) {
LOG.info("Subscription already existed with a lower QoS value. It will be updated. ClientId={}, " +
"topics={}, existingQos={}, newQos={}", newSubscription.getClientId(),
newSubscription.getTopicFilter(), existingSub.getRequestedQos(), newSubscription.getRequestedQos());
subscriptions.remove(newSubscription);
}
subscriptions.add(newSubscription);
subscriptionsStore.addNewSubscription(newSubscription);
}
return true;
}发现当同一个client订阅对同一个topic-filter发送了另外一个qos等级的订阅的时候，1和2，其实是更新了的，因为不论是set还是map，当equals相等时，会产生覆盖。而这个时候并没有对topic树里面的subscribe进行更新，而是直接添加，这说明，对于目录树来说，一个topic下是可能存在某一个client的重复订阅的。这说明2和3的作用不同，因为3即topic目录里面更关系的是某个client到底有没有订阅该topic-filter，而不关心这个topic究竟应该怎么发，是以qos1还是qos2或者qos0发，他并不关系，而且更新一个普通的树的消耗成本还是挺大的。2存储是最新的订阅。包含了等级信息。这也就能够解释为什么在发布消息的时候会有下面的一段过滤的逻辑了
public List<Subscription> matches(Topic topic) {
Queue<Token> tokenQueue = new LinkedBlockingDeque<>(topic.getTokens());
List<ClientTopicCouple> matchingSubs = new ArrayList<>();
subscriptions.get().matches(tokenQueue, matchingSubs);
// remove the overlapping subscriptions, selecting ones with greatest qos
Map<String, Subscription> subsForClient = new HashMap<>();
for (ClientTopicCouple matchingCouple : matchingSubs) {//遍历从topic树获取的订阅者
Subscription existingSub = subsForClient.get(matchingCouple.clientID);//看一下map里面是否已经存在
Subscription sub = this.subscriptionsStore.getSubscription(matchingCouple);//看一下该客户端是否还在线
if (sub == null) {
// if the m_sessionStore hasn't the sub because the client disconnected
continue;
}
// update the selected subscriptions if not present or if has a greater qos
if (existingSub == null || existingSub.getRequestedQos().value() < sub.getRequestedQos().value()) {//
subsForClient.put(matchingCouple.clientID, sub);
}
}
return new ArrayList<>(subsForClient.values());
}这就是为什么需要从目录树找订阅者，但是却需要从ISubscriptionsStore里面获取最新的subscribe了。同时会有一个去重的逻辑，因为目录树下本来就可能重复，但是ISubscriptionsStore由于是一个map所以是不可能有重复的。
下一篇会讲解moquette对PUBLISH报文的处理
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