RocketMQ Consumer启动总结.md

RocketMQ Consumer启动总结

RocketMQ 消费者启动，这里主要总结push（push和pull启动都比较类似）

// DefaultMQPushConsumer
@Override
public void start() throws MQClientException {
    setConsumerGroup(NamespaceUtil.wrapNamespace(this.getNamespace(), this.consumerGroup));
    this.defaultMQPushConsumerImpl.start();
    if (null != traceDispatcher) {
        try {
            traceDispatcher.start(this.getNamesrvAddr(), this.getAccessChannel());
        } catch (MQClientException e) {
            log.warn("trace dispatcher start failed ", e);
        }
    }
}


public synchronized void start() throws MQClientException {
    switch (this.serviceState) {
        case CREATE_JUST:
            log.info("the consumer [{}] start beginning. messageModel={}, isUnitMode={}", this.defaultMQPushConsumer.getConsumerGroup(),
                this.defaultMQPushConsumer.getMessageModel(), this.defaultMQPushConsumer.isUnitMode());
            this.serviceState = ServiceState.START_FAILED;

            // 配置检查
            this.checkConfig();

            // 构建主题订阅消息，并加入到rebalanceImpl的订阅消息中，订阅消息来源有两个
            // 1. 从defaultMQPushConsumer中获取，但是这个来源没有找到调用的地方??
            // 2. 订阅重试消息主题(如果是集群消费的模式)
            // 将订阅信息设置到rebalanceImpl的map中用于负载。另外，如果该消费者的消费模式为集群消费，则会将retry的topic一并放到rebalanceImpl的map中用于负载。
            this.copySubscription();

            if (this.defaultMQPushConsumer.getMessageModel() == MessageModel.CLUSTERING) {
                this.defaultMQPushConsumer.changeInstanceNameToPID();
            }

            // 初始化MQClientInstance
            this.mQClientFactory = MQClientManager.getInstance().getAndCreateMQClientInstance(this.defaultMQPushConsumer, this.rpcHook);

            // 初始化RebalanceImpl
            this.rebalanceImpl.setConsumerGroup(this.defaultMQPushConsumer.getConsumerGroup());
            this.rebalanceImpl.setMessageModel(this.defaultMQPushConsumer.getMessageModel());
            this.rebalanceImpl.setAllocateMessageQueueStrategy(this.defaultMQPushConsumer.getAllocateMessageQueueStrategy());
            this.rebalanceImpl.setmQClientFactory(this.mQClientFactory);

            this.pullAPIWrapper = new PullAPIWrapper(
                mQClientFactory,
                this.defaultMQPushConsumer.getConsumerGroup(), isUnitMode());
            this.pullAPIWrapper.registerFilterMessageHook(filterMessageHookList);

            // 如果是集群消费，创建RemoteBrokerOffsetStore，也就是消费进度保存在Broker
            // 如果是广播消费，创建LocalFileOffsetStore，也就是消费进度保存在消费端
            if (this.defaultMQPushConsumer.getOffsetStore() != null) {
                this.offsetStore = this.defaultMQPushConsumer.getOffsetStore();
            } else {
                switch (this.defaultMQPushConsumer.getMessageModel()) {
                    case BROADCASTING:
                        this.offsetStore = new LocalFileOffsetStore(this.mQClientFactory, this.defaultMQPushConsumer.getConsumerGroup());
                        break;
                    case CLUSTERING:
                        this.offsetStore = new RemoteBrokerOffsetStore(this.mQClientFactory, this.defaultMQPushConsumer.getConsumerGroup());
                        break;
                    default:
                        break;
                }
                this.defaultMQPushConsumer.setOffsetStore(this.offsetStore);
            }
            this.offsetStore.load();

            // 根据是否顺序顺序消费，创建消费端消费线程服务
            if (this.getMessageListenerInner() instanceof MessageListenerOrderly) {
                this.consumeOrderly = true;
                this.consumeMessageService =
                    new ConsumeMessageOrderlyService(this, (MessageListenerOrderly) this.getMessageListenerInner());
            } else if (this.getMessageListenerInner() instanceof MessageListenerConcurrently) {
                this.consumeOrderly = false;
                this.consumeMessageService =
                    new ConsumeMessageConcurrentlyService(this, (MessageListenerConcurrently) this.getMessageListenerInner());
            }

            // 启动消费服务
            this.consumeMessageService.start();

            // 将group和consumer注册到MQClientInstance实例。
            // 与生产者注册生产者组类似，一个客户端进程中一个consumerGroup只能有一个实例。
            boolean registerOK = mQClientFactory.registerConsumer(this.defaultMQPushConsumer.getConsumerGroup(), this);
            if (!registerOK) {
                this.serviceState = ServiceState.CREATE_JUST;
                this.consumeMessageService.shutdown();
                throw new MQClientException("The consumer group[" + this.defaultMQPushConsumer.getConsumerGroup()
                    + "] has been created before, specify another name please." + FAQUrl.suggestTodo(FAQUrl.GROUP_NAME_DUPLICATE_URL),
                    null);
            }

            // 启动mQClientFactory，也即MQClientInstance
            mQClientFactory.start();
            log.info("the consumer [{}] start OK.", this.defaultMQPushConsumer.getConsumerGroup());
            this.serviceState = ServiceState.RUNNING;
            break;
        case RUNNING:
        case START_FAILED:
        case SHUTDOWN_ALREADY:
            throw new MQClientException("The PushConsumer service state not OK, maybe started once, "
                + this.serviceState
                + FAQUrl.suggestTodo(FAQUrl.CLIENT_SERVICE_NOT_OK),
                null);
        default:
            break;
    }

    this.updateTopicSubscribeInfoWhenSubscriptionChanged();
    this.mQClientFactory.checkClientInBroker();
    this.mQClientFactory.sendHeartbeatToAllBrokerWithLock();
    this.mQClientFactory.rebalanceImmediately();
}


private void copySubscription() throws MQClientException {
    try {
        Map<String, String> sub = this.defaultMQPushConsumer.getSubscription();
        if (sub != null) {
            for (final Map.Entry<String, String> entry : sub.entrySet()) {
                final String topic = entry.getKey();
                final String subString = entry.getValue();
                SubscriptionData subscriptionData = FilterAPI.buildSubscriptionData(this.defaultMQPushConsumer.getConsumerGroup(),
                    topic, subString);
                // 注册到rebalanceImpl
                this.rebalanceImpl.getSubscriptionInner().put(topic, subscriptionData);
            }
        }

        if (null == this.messageListenerInner) {
            this.messageListenerInner = this.defaultMQPushConsumer.getMessageListener();
        }

        switch (this.defaultMQPushConsumer.getMessageModel()) {
            case BROADCASTING:
                break;
            case CLUSTERING:
                final String retryTopic = MixAll.getRetryTopic(this.defaultMQPushConsumer.getConsumerGroup());
                SubscriptionData subscriptionData = FilterAPI.buildSubscriptionData(this.defaultMQPushConsumer.getConsumerGroup(),
                    retryTopic, SubscriptionData.SUB_ALL);
                this.rebalanceImpl.getSubscriptionInner().put(retryTopic, subscriptionData);
                break;
            default:
                break;
        }
    } catch (Exception e) {
        throw new MQClientException("subscription exception", e);
    }
}


// mQClientFactory.start()
public void start() throws MQClientException {

    synchronized (this) {
        switch (this.serviceState) {
            case CREATE_JUST:
                this.serviceState = ServiceState.START_FAILED;
                // If not specified,looking address from name server
                if (null == this.clientConfig.getNamesrvAddr()) {
                    this.mQClientAPIImpl.fetchNameServerAddr();
                }
                // Start request-response channel
                this.mQClientAPIImpl.start();
                // Start various schedule tasks
                this.startScheduledTask();
                // Start pull service 开启pullMessageService服务，为消费者拉取消息 todo:消费的时候再分析
                this.pullMessageService.start();
                // Start rebalance service 开启rebalanceService服务线程，用来均衡消息队列
                this.rebalanceService.start();
                // Start push service
                this.defaultMQProducer.getDefaultMQProducerImpl().start(false);
                log.info("the client factory [{}] start OK", this.clientId);
                this.serviceState = ServiceState.RUNNING;
                break;
            case RUNNING:
                break;
            case SHUTDOWN_ALREADY:
                break;
            case START_FAILED:
                throw new MQClientException("The Factory object[" + this.getClientId() + "] has been created before, and failed.", null);
            default:
                break;
        }
    }
}

下面重点分析reBalance的逻辑

Consumer的负载均衡

在RocketMQ中，Consumer端的两种消费模式（Push/Pull）都是基于拉模式来获取消息的，而在Push模式只是对pull模式的一种封装，其本质实现为消息拉取线程在从服务器拉取到一批消息后，然后提交到消息消费线程池后，又“马不停蹄”的继续向服务器再次尝试拉取消息。如果未拉取到消息，则延迟一下又继续拉取。在两种基于拉模式的消费方式（Push/Pull）中，均需要Consumer端在知道从Broker端的哪一个消息队列—队列中去获取消息。因此，有必要在Consumer端来做负载均衡，即Broker端中多个MessageQueue分配给同一个ConsumerGroup中的哪些Consumer消费。

1、Consumer端的心跳包发送

在Consumer启动后，它就会通过定时任务不断地向RocketMQ集群中的所有Broker实例发送心跳包（其中包含了，消息消费分组名称、订阅关系集合、消息通信模式和客户端id的值等信息）。Broker端在收到Consumer的心跳消息后，会将它维护在ConsumerManager的本地缓存变量—consumerTable，同时并将封装后的客户端网络通道信息保存在本地缓存变量—channelInfoTable中，为之后做Consumer端的负载均衡提供可以依据的元数据信息。

2、Consumer端实现负载均衡的核心类—RebalanceImpl

在Consumer实例的启动流程中的启动MQClientInstance实例部分，会完成负载均衡服务线程—RebalanceService的启动（每隔20s执行一次）。通过查看源码可以发现，RebalanceService线程的run()方法最终调用的是RebalanceImpl类的rebalanceByTopic()方法，该方法是实现Consumer端负载均衡的核心。这里，rebalanceByTopic()方法会根据消费者通信类型为“广播模式”还是“集群模式”做不同的逻辑处理。这里主要来看下集群模式下的主要处理流程：

(1) 从rebalanceImpl实例的本地缓存变量—topicSubscribeInfoTable中，获取该Topic主题下的消息消费队列集合（mqSet）；

(2) 根据topic和consumerGroup为参数调用mQClientFactory.findConsumerIdList()方法向Broker端发送获取该消费组下消费者Id列表的RPC通信请求（Broker端基于前面Consumer端上报的心跳包数据而构建的consumerTable做出响应返回，业务请求码：GET_CONSUMER_LIST_BY_GROUP）；

(3) 先对Topic下的消息消费队列、消费者Id排序，然后用消息队列分配策略算法（默认为：消息队列的平均分配算法），计算出待拉取的消息队列。这里的平均分配算法，类似于分页的算法，将所有MessageQueue排好序类似于记录，将所有消费端Consumer排好序类似页数，并求出每一页需要包含的平均size和每个页面记录的范围range，最后遍历整个range而计算出当前Consumer端应该分配到的记录（这里即为：MessageQueue）。

(4) 然后，调用updateProcessQueueTableInRebalance()方法，具体的做法是，先将分配到的消息队列集合（mqSet）与processQueueTable做一个过滤比对。

• 上图中processQueueTable标注的红色部分，表示与分配到的消息队列集合mqSet互不包含。将这些队列设置Dropped属性为true，然后查看这些队列是否可以移除出processQueueTable缓存变量，这里具体执行removeUnnecessaryMessageQueue()方法，即每隔1s 查看是否可以获取当前消费处理队列的锁，拿到的话返回true。如果等待1s后，仍然拿不到当前消费处理队列的锁则返回false。如果返回true，则从processQueueTable缓存变量中移除对应的Entry；

• 上图中processQueueTable的绿色部分，表示与分配到的消息队列集合mqSet的交集。判断该ProcessQueue是否已经过期了，在Pull模式的不用管，如果是Push模式的，设置Dropped属性为true，并且调用removeUnnecessaryMessageQueue()方法，像上面一样尝试移除Entry；

最后，为过滤后的消息队列集合（mqSet）中的每个MessageQueue创建一个ProcessQueue对象并存入RebalanceImpl的processQueueTable队列中（其中调用RebalanceImpl实例的computePullFromWhere(MessageQueue mq)方法获取该MessageQueue对象的下一个进度消费值offset，随后填充至接下来要创建的pullRequest对象属性中），并创建拉取请求对象—pullRequest添加到拉取列表—pullRequestList中，最后执行dispatchPullRequest()方法，将Pull消息的请求对象PullRequest依次放入PullMessageService服务线程的阻塞队列pullRequestQueue中，待该服务线程取出后向Broker端发起Pull消息的请求。其中，可以重点对比下，RebalancePushImpl和RebalancePullImpl两个实现类的dispatchPullRequest()方法不同，RebalancePullImpl类里面的该方法为空，这样子也就回答了上一篇中最后的那道思考题了。

消息消费队列在同一消费组不同消费者之间的负载均衡，其核心设计理念是在一个消息消费队列在同一时间只允许被同一消费组内的一个消费者消费，一个消息消费者能同时消费多个消息队列。

@Override
public void run() {
    log.info(this.getServiceName() + " service started");

    while (!this.isStopped()) {
        this.waitForRunning(waitInterval);
        this.mqClientFactory.doRebalance();
    }

    log.info(this.getServiceName() + " service end");
}


public void doRebalance(final boolean isOrder) {
    Map<String, SubscriptionData> subTable = this.getSubscriptionInner();
    if (subTable != null) {
        for (final Map.Entry<String, SubscriptionData> entry : subTable.entrySet()) {
            final String topic = entry.getKey();
            try {
                this.rebalanceByTopic(topic, isOrder);
            } catch (Throwable e) {
                if (!topic.startsWith(MixAll.RETRY_GROUP_TOPIC_PREFIX)) {
                    log.warn("rebalanceByTopic Exception", e);
                }
            }
        }
    }

    // 移除未订阅的topic对应的消息队列
    this.truncateMessageQueueNotMyTopic();
}


 private void rebalanceByTopic(final String topic, final boolean isOrder) {
    switch (messageModel) {
        case BROADCASTING: { // 广播消费不需要负载均衡
            // 先根据Topic取得对应的所有消息队列的集合
            Set<MessageQueue> mqSet = this.topicSubscribeInfoTable.get(topic);
            if (mqSet != null) {
                boolean changed = this.updateProcessQueueTableInRebalance(topic, mqSet, isOrder);
                if (changed) {
                    this.messageQueueChanged(topic, mqSet, mqSet);
                    log.info("messageQueueChanged {} {} {} {}",
                        consumerGroup,
                        topic,
                        mqSet,
                        mqSet);
                }
            } else {
                log.warn("doRebalance, {}, but the topic[{}] not exist.", consumerGroup, topic);
            }
            break;
        }
        case CLUSTERING: {
            // 获取 topic 对应的 队列 和 consumer信息
            Set<MessageQueue> mqSet = this.topicSubscribeInfoTable.get(topic);
            List<String> cidAll = this.mQClientFactory.findConsumerIdList(topic, consumerGroup);
            if (null == mqSet) {
                if (!topic.startsWith(MixAll.RETRY_GROUP_TOPIC_PREFIX)) {
                    log.warn("doRebalance, {}, but the topic[{}] not exist.", consumerGroup, topic);
                }
            }

            if (null == cidAll) {
                log.warn("doRebalance, {} {}, get consumer id list failed", consumerGroup, topic);
            }

            if (mqSet != null && cidAll != null) {
                // 排序 消息队列 和 消费者数组。因为是在Client进行分配队列，排序后，各Client的顺序才能保持一致。
                List<MessageQueue> mqAll = new ArrayList<MessageQueue>();
                mqAll.addAll(mqSet);

                Collections.sort(mqAll);
                Collections.sort(cidAll);

                // 策略模式 采用平均策略
                AllocateMessageQueueStrategy strategy = this.allocateMessageQueueStrategy;

                List<MessageQueue> allocateResult = null;
                try {
                    // 根据 队列分配策略 分配消息队列
                    allocateResult = strategy.allocate(
                        this.consumerGroup,
                        this.mQClientFactory.getClientId(),
                        mqAll,
                        cidAll);
                } catch (Throwable e) {
                    log.error("AllocateMessageQueueStrategy.allocate Exception. allocateMessageQueueStrategyName={}", strategy.getName(),
                        e);
                    return;
                }

                Set<MessageQueue> allocateResultSet = new HashSet<MessageQueue>();
                if (allocateResult != null) {
                    allocateResultSet.addAll(allocateResult);
                }
                // 更新消息队列
                boolean changed = this.updateProcessQueueTableInRebalance(topic, allocateResultSet, isOrder);
                if (changed) {
                    log.info(
                        "rebalanced result changed. allocateMessageQueueStrategyName={}, group={}, topic={}, clientId={}, mqAllSize={}, cidAllSize={}, rebalanceResultSize={}, rebalanceResultSet={}",
                        strategy.getName(), consumerGroup, topic, this.mQClientFactory.getClientId(), mqSet.size(), cidAll.size(),
                        allocateResultSet.size(), allocateResultSet);
                    this.messageQueueChanged(topic, mqSet, allocateResultSet);
                }
            }
            break;
        }
        default:
            break;
    }
}

public List<String> findConsumerIdList(final String topic, final String group) {
    String brokerAddr = this.findBrokerAddrByTopic(topic);
    if (null == brokerAddr) {
        this.updateTopicRouteInfoFromNameServer(topic);
        brokerAddr = this.findBrokerAddrByTopic(topic);
    }

    if (null != brokerAddr) {
        try {
            // 首先还是根据Topic得到消息队列的集合
            // 由于是集群模式，每个消费者会取得不同的消息，所以这里通过findConsumerIdList方法，得到消费者的ID列表
            return this.mQClientAPIImpl.getConsumerIdListByGroup(brokerAddr, group, 3000);
        } catch (Exception e) {
            log.warn("getConsumerIdListByGroup exception, " + brokerAddr + " " + group, e);
        }
    }

    return null;
}

public List<String> getConsumerIdListByGroup(
    final String addr,
    final String consumerGroup,
    final long timeoutMillis) throws RemotingConnectException, RemotingSendRequestException, RemotingTimeoutException,
    MQBrokerException, InterruptedException {
    GetConsumerListByGroupRequestHeader requestHeader = new GetConsumerListByGroupRequestHeader();
    requestHeader.setConsumerGroup(consumerGroup);
    RemotingCommand request = RemotingCommand.createRequestCommand(RequestCode.GET_CONSUMER_LIST_BY_GROUP, requestHeader);

    RemotingCommand response = this.remotingClient.invokeSync(MixAll.brokerVIPChannel(this.clientConfig.isVipChannelEnabled(), addr),
        request, timeoutMillis);
    assert response != null;
    switch (response.getCode()) {
        case ResponseCode.SUCCESS: {
            if (response.getBody() != null) {
                GetConsumerListByGroupResponseBody body =
                    GetConsumerListByGroupResponseBody.decode(response.getBody(), GetConsumerListByGroupResponseBody.class);
                return body.getConsumerIdList();
            }
        }
        default:
            break;
    }

    throw new MQBrokerException(response.getCode(), response.getRemark());
}

/**
* 移除 在processQueueTable && 不存在于 mqSet 里的消息队列
* 增加 不在processQueueTable && 存在于mqSet 里的消息队列
*
* @param topic Topic
* @param mqSet 负载均衡结果后的消息队列数组
* @param isOrder 是否顺序
* @return 是否变更
*/
private boolean updateProcessQueueTableInRebalance(final String topic, final Set<MessageQueue> mqSet,
    final boolean isOrder) {
    boolean changed = false;

    Iterator<Entry<MessageQueue, ProcessQueue>> it = this.processQueueTable.entrySet().iterator();
    while (it.hasNext()) {
        Entry<MessageQueue, ProcessQueue> next = it.next();
        MessageQueue mq = next.getKey();
        ProcessQueue pq = next.getValue();

        // 若是消息队列发生了更新，这里首先在while循环中会将处理队列中的无用的记录删除
        if (mq.getTopic().equals(topic)) {
            // 移除 在processQueueTable && 不存在于 mqSet 里的消息队列
            if (!mqSet.contains(mq)) {
                pq.setDropped(true);
                // processQueueTable中删去
                if (this.removeUnnecessaryMessageQueue(mq, pq)) {
                    it.remove();
                    changed = true;
                    log.info("doRebalance, {}, remove unnecessary mq, {}", consumerGroup, mq);
                }
            } else if (pq.isPullExpired()) { // 队列拉取超时，进行清理
                switch (this.consumeType()) {
                    // pull
                    case CONSUME_ACTIVELY:
                        break;
                        // push
                    case CONSUME_PASSIVELY:
                        pq.setDropped(true);
                        // 判断是否过期
                        if (this.removeUnnecessaryMessageQueue(mq, pq)) {
                            it.remove();
                            changed = true;
                            log.error("[BUG]doRebalance, {}, remove unnecessary mq, {}, because pull is pause, so try to fixed it",
                                consumerGroup, mq);
                        }
                        break;
                    default:
                        break;
                }
            }
        }
    }

    // 增加 不在processQueueTable && 存在于mqSet 里的消息队列。
    List<PullRequest> pullRequestList = new ArrayList<PullRequest>(); // 拉消息请求数组
    for (MessageQueue mq : mqSet) {
        if (!this.processQueueTable.containsKey(mq)) {
            if (isOrder && !this.lock(mq)) {
                log.warn("doRebalance, {}, add a new mq failed, {}, because lock failed", consumerGroup, mq);
                continue;
            }

            this.removeDirtyOffset(mq);
            // 为过滤后的消息队列集合（mqSet）中的每个MessageQueue创建一个ProcessQueue对象并存入RebalanceImpl的processQueueTable队列中
            ProcessQueue pq = new ProcessQueue();
            // 调用computePullFromWhere(MessageQueue mq)方法获取该MessageQueue对象的下一个进度消费值offset，随后填充至接下来要创建的pullRequest对象属性中
            long nextOffset = this.computePullFromWhere(mq);
            if (nextOffset >= 0) {
                ProcessQueue pre = this.processQueueTable.putIfAbsent(mq, pq);
                if (pre != null) {
                    log.info("doRebalance, {}, mq already exists, {}", consumerGroup, mq);
                } else {
                    log.info("doRebalance, {}, add a new mq, {}", consumerGroup, mq);
                    PullRequest pullRequest = new PullRequest();
                    pullRequest.setConsumerGroup(consumerGroup);
                    pullRequest.setNextOffset(nextOffset);
                    pullRequest.setMessageQueue(mq);
                    pullRequest.setProcessQueue(pq);
                    pullRequestList.add(pullRequest);
                    changed = true;
                }
            } else {
                log.warn("doRebalance, {}, add new mq failed, {}", consumerGroup, mq);
            }
        }
    }

    // 发起消息拉取请求
    this.dispatchPullRequest(pullRequestList);

    return changed;
}