应用监控CAT之cat-consumer源码阅读

　　之前讲了 cat-client 进行cat埋点上报，那么上报给谁呢？以及后续故事如何？让我们来看看 cat-consumer 是如何接收处理的？

　　由cat-client发送数据，cat-consumer进行接收请求处理，开始了处理问题之旅！

首先，让我们来回顾一下 TcpSocketSender 是如何发送数据的：

// TcpSocketSender 往channel中写入数据，此处有兴趣的同学可以延伸下 netty 的源码！
    private void sendInternal(MessageTree tree) {
        ChannelFuture future = m_manager.channel();
        ByteBuf buf = PooledByteBufAllocator.DEFAULT.buffer(10 * 1024); // 10K

        m_codec.encode(tree, buf);

        int size = buf.readableBytes();
        Channel channel = future.channel();

        // 以 ByteBuf 形式发送数据
        channel.writeAndFlush(buf);
        // 更新统计数据
        if (m_statistics != null) { 
            m_statistics.onBytes(size);
        }
    }

// TcpSocketReceiver, 接收发送过来的数据，默认端口 2280, 注册服务，线上为分布式部署，即为接口调用式。

    public void init() {
        try {
            startServer(m_port);
        } catch (Throwable e) {
            m_logger.error(e.getMessage(), e);
        }
    }

    public synchronized void startServer(int port) throws InterruptedException {
        boolean linux = getOSMatches("Linux") || getOSMatches("LINUX");
        int threads = 24;
        ServerBootstrap bootstrap = new ServerBootstrap();

        m_bossGroup = linux ? new EpollEventLoopGroup(threads) : new NioEventLoopGroup(threads);
        m_workerGroup = linux ? new EpollEventLoopGroup(threads) : new NioEventLoopGroup(threads);
        bootstrap.group(m_bossGroup, m_workerGroup);
        bootstrap.channel(linux ? EpollServerSocketChannel.class : NioServerSocketChannel.class);

        // 添加处理handler, 进行请求逻辑处理
        bootstrap.childHandler(new ChannelInitializer<SocketChannel>() {
            @Override
            protected void initChannel(SocketChannel ch) throws Exception {
                ChannelPipeline pipeline = ch.pipeline();
                
                // 此处仅为一个解码器，实际功能在该解码器中完成
                pipeline.addLast("decode", new MessageDecoder());
            }
        });

        bootstrap.childOption(ChannelOption.SO_REUSEADDR, true);
        bootstrap.childOption(ChannelOption.TCP_NODELAY, true);
        bootstrap.childOption(ChannelOption.SO_KEEPALIVE, true);
        bootstrap.childOption(ChannelOption.ALLOCATOR, PooledByteBufAllocator.DEFAULT);

        try {
            m_future = bootstrap.bind(port).sync();
            m_logger.info("start netty server!");
        } catch (Exception e) {
            m_logger.error("Started Netty Server Failed:" + port, e);
        }
    }

// 消息解码器，并处理具体业务逻辑，先确认数据已上传完成，再进行逻辑处理
    public class MessageDecoder extends ByteToMessageDecoder {

        @Override
        protected void decode(ChannelHandlerContext ctx, ByteBuf buffer, List<Object> out) throws Exception {
            if (buffer.readableBytes() < 4) {
                return;
            }
            buffer.markReaderIndex();
            int length = buffer.readInt();
            buffer.resetReaderIndex();
            if (buffer.readableBytes() < length + 4) {
                return;
            }
            try {
                if (length > 0) {
                    ByteBuf readBytes = buffer.readBytes(length + 4);
                    readBytes.markReaderIndex();
                    readBytes.readInt();

                    DefaultMessageTree tree = (DefaultMessageTree) m_codec.decode(readBytes);

                    readBytes.resetReaderIndex();
                    tree.setBuffer(readBytes);
                    // 交由handler处理实际逻辑
                    m_handler.handle(tree);
                    m_processCount++;

                    long flag = m_processCount % CatConstants.SUCCESS_COUNT;

                    if (flag == 0) {
                        m_serverStateManager.addMessageTotal(CatConstants.SUCCESS_COUNT);
                    }
                } else {
                    // client message is error
                    buffer.readBytes(length);
                }
            } catch (Exception e) {
                m_serverStateManager.addMessageTotalLoss(1);
                m_logger.error(e.getMessage(), e);
            }
        }
    }
    

// handler 处理流程，由DefaultMessageHandler接手，安排后续工作。

    // DefaultMessageHandler, 接过处理器的第一棒, 交由另一实际的consumer(RealtimeConsumer) handler处理
    @Override
    public void handle(MessageTree tree) {
        if (m_consumer == null) {
            m_consumer = lookup(MessageConsumer.class);
        }

        try {
            m_consumer.consume(tree);
        } catch (Throwable e) {
            m_logger.error("Error when consuming message in " + m_consumer + "! tree: " + tree, e);
        }
    }
    // RealtimeConsumer, 进行消费数据
    @Override
    public void consume(MessageTree tree) {
        String domain = tree.getDomain();
        String ip = tree.getIpAddress();

        // 进行权限检测，ip,domain
        if (!m_blackListManager.isBlack(domain, ip)) {
            long timestamp = tree.getMessage().getTimestamp();
            Period period = m_periodManager.findPeriod(timestamp);

            // 找到period, 再将消息分配过去，否则算作网络异常
            if (period != null) {
                period.distribute(tree);
            } else {
                m_serverStateManager.addNetworkTimeError(1);
            }
        } else {
            m_black++;

            if (m_black % CatConstants.SUCCESS_COUNT == 0) {
                Cat.logEvent("Discard", domain);
            }
        }
    }

// Period.distribute, 将消息依次取出，进行分发到队列

    public void distribute(MessageTree tree) {
        // 统计进行数进行加1
        m_serverStateManager.addMessageTotal(tree.getDomain(), 1);
        boolean success = true;
        String domain = tree.getDomain();

        // 将各种类型的监控数据分别取出进行处理
        for (Entry<String, List<PeriodTask>> entry : m_tasks.entrySet()) {
            List<PeriodTask> tasks = entry.getValue();
            int length = tasks.size();
            int index = 0;
            boolean manyTasks = length > 1;

            if (manyTasks) {
                index = Math.abs(domain.hashCode()) % length;
            }
            PeriodTask task = tasks.get(index);
            // 如果有金条消息，将task重新入队
            boolean enqueue = task.enqueue(tree);

            if (enqueue == false) {
                if (manyTasks) {
                    task = tasks.get((index + 1) % length);
                    enqueue = task.enqueue(tree);

                    if (enqueue == false) {
                        success = false;
                    }
                } else {
                    success = false;
                }
            }
        }

        if (!success) {
            m_serverStateManager.addMessageTotalLoss(tree.getDomain(), 1);
        }
    }
    // PeriodTask.enqueue, 重新入队消息，让消费线程自行消费 LinkedBlockingQueue.offer(..)
    public boolean enqueue(MessageTree tree) {
        boolean result = m_queue.offer(tree);

        if (!result) { // trace queue overflow, 记录入队失败日志
            m_queueOverflow++;

            if (m_queueOverflow % (10 * CatConstants.ERROR_COUNT) == 0) {
                m_logger.warn(m_analyzer.getClass().getSimpleName() + " queue overflow number " + m_queueOverflow);
            }
        }
        return result;
    }

到此，一条消费线路就完成了。

// PeriodTask 线程，作为第二个消费线路

    @Override
    public void run() {
        try {
            // 分析各消息数据，做后台消费处理
            m_analyzer.analyze(m_queue);
        } catch (Exception e) {
            Cat.logError(e);
        }
    }
    // 调用统一的抽象类的模板方法，由各类进行具体的 process 处理
    @Override
    public void analyze(MessageQueue queue) {
        while (!isTimeout() && isActive()) {
            MessageTree tree = queue.poll();

            if (tree != null) {
                try {
                    // 调用具体类的process 
                    process(tree);
                } catch (Throwable e) {
                    m_errors++;

                    if (m_errors == 1 || m_errors % 10000 == 0) {
                        Cat.logError(e);
                    }
                }
            }
        }

        // 如果出现超时或者停止动作，则把剩余队列处理完成再退出线程
        while (true) {
            MessageTree tree = queue.poll();

            if (tree != null) {
                try {
                    process(tree);
                } catch (Throwable e) {
                    m_errors++;

                    if (m_errors == 1 || m_errors % 10000 == 0) {
                        Cat.logError(e);
                    }
                }
            } else {
                break;
            }
        }
    }
    // 超时规则，当前时间 > 开始时间+1小时+设置额外超时时间
    protected boolean isTimeout() {
        long currentTime = System.currentTimeMillis();
        long endTime = m_startTime + m_duration + m_extraTime;

        return currentTime > endTime;
    }
    

// 具体的 Anlalyzer示例: DumpAnlalyzer.process

// 具体的 Anlalyzer示例: DumpAnlalyzer.process
    @Override
    public void process(MessageTree tree) {
        String domain = tree.getDomain();

        if ("PhoenixAgent".equals(domain)) {
            return;
        } else {
            MessageId messageId = MessageId.parse(tree.getMessageId());

            if (messageId.getVersion() == 2) {
                // 计算出当前时间范围，
                long time = tree.getMessage().getTimestamp();
                long fixedTime = time - time % (TimeHelper.ONE_HOUR);
                long idTime = messageId.getTimestamp();
                long duration = fixedTime - idTime;

                if (duration == 0 || duration == ONE_HOUR || duration == -ONE_HOUR) {
                    m_bucketManager.storeMessage(tree, messageId);
                } else {
                    m_serverStateManager.addPigeonTimeError(1);
                }
            }
        }
    }
// 存储log消息到本地文件，并后续上传到hdfs
    @Override
    public void storeMessage(final MessageTree tree, final MessageId id) {
        boolean errorFlag = true;
        int hash = Math.abs((id.getDomain() + '-' + id.getIpAddress()).hashCode());
        int index = (int) (hash % m_gzipThreads);
        MessageItem item = new MessageItem(tree, id);
        LinkedBlockingQueue<MessageItem> queue = m_messageQueues.get(index % (m_gzipThreads - 1));
        boolean result = queue.offer(item);

        if (result) {
            errorFlag = false;
        } else {
            if (m_last.offer(item)) {
                errorFlag = false;
            }
        }

        if (errorFlag) {
            m_serverStateManager.addMessageDumpLoss(1);
        }
        logStorageState(tree);
    }
    // 每1000个消息添加一个messageDump=1000
    protected void logStorageState(final MessageTree tree) {
        String domain = tree.getDomain();
        int size = ((DefaultMessageTree) tree).getBuffer().readableBytes();

        m_serverStateManager.addMessageSize(domain, size);
        if ((++m_total) % CatConstants.SUCCESS_COUNT == 0) {
            m_serverStateManager.addMessageDump(CatConstants.SUCCESS_COUNT);
        }
    }

// EventAnalyzer.process 处理event消息

    @Override
    public void process(MessageTree tree) {
        String domain = tree.getDomain();

        if (m_serverFilterConfigManager.validateDomain(domain)) {
            EventReport report = m_reportManager.getHourlyReport(getStartTime(), domain, true);
            Message message = tree.getMessage();
            String ip = tree.getIpAddress();

            if (message instanceof Transaction) {
                processTransaction(report, tree, (Transaction) message, ip);
            } else if (message instanceof Event) {
                processEvent(report, tree, (Event) message, ip);
            }
        }
    }
    // 循环处理多个transation
    private void processTransaction(EventReport report, MessageTree tree, Transaction t, String ip) {
        List<Message> children = t.getChildren();

        for (Message child : children) {
            if (child instanceof Transaction) {
                processTransaction(report, tree, (Transaction) child, ip);
            } else if (child instanceof Event) {
                processEvent(report, tree, (Event) child, ip);
            }
        }
    }
// StateAnalyzer.process 对cat的机器作展示
    @Override
    protected void process(MessageTree tree) {
        String domain = tree.getDomain();

        if (m_serverFilterConfigManager.validateDomain(domain)) {
            StateReport report = m_reportManager.getHourlyReport(getStartTime(), Constants.CAT, true);
            String ip = tree.getIpAddress();
            Machine machine = report.findOrCreateMachine(NetworkInterfaceManager.INSTANCE.getLocalHostAddress());

            machine.findOrCreateProcessDomain(domain).addIp(ip);
        }
    }

// 所有分析线程，由 Period 进行初始化启动所有的Analyzer备用

    public void start() {
        SimpleDateFormat df = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");

        m_logger.info(String.format("Starting %s tasks in period [%s, %s]", m_tasks.size(),
              df.format(new Date(m_startTime)), df.format(new Date(m_endTime - 1))));

        for (Entry<String, List<PeriodTask>> tasks : m_tasks.entrySet()) {
            List<PeriodTask> taskList = tasks.getValue();

            for (int i = 0; i < taskList.size(); i++) {
                PeriodTask task = taskList.get(i);

                task.setIndex(i);

                Threads.forGroup("Cat-RealtimeConsumer").start(task);
            }
        }
    }

// 为保证高可用，使用 ChannelManager, 专门检查channel通道是否仍然存活，如果出问题，则发起重连。

    @Override
    public void run() {
        while (m_active) {
            // make save message id index asyc
            m_idfactory.saveMark();
            checkServerChanged();

            ChannelFuture activeFuture = m_activeChannelHolder.getActiveFuture();
            List<InetSocketAddress> serverAddresses = m_activeChannelHolder.getServerAddresses();

            doubleCheckActiveServer(activeFuture);
            reconnectDefaultServer(activeFuture, serverAddresses);

            try {
                Thread.sleep(10 * 1000L); // check every 10 seconds
            } catch (InterruptedException e) {
                // ignore
            }
        }
    }
    

总结起来就几个东西：
　　1. 使用netty开启高性能的接收服务;
　　2. 使用队列进行保存消息;
　　3. 使用单独线程检测channel有效性，保证高可用;
　　4. 所有单小时的数据，保存在内存中，速度特别快；

等等，来个图展示下：。。。

task 运行过程