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
原文出处：https://www.cnblogs.com/yougewe/p/9494904.html
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