Kafka源码分析-网络层-2

2018-09-05 17:15:17 浏览数 (1)

  • 许久不写字,发现写作水平严重退步啊~~~
  • 以前也是个文艺青年,现在也要写出诗意的代码啊~
  • 没找到以前写的诗,咱们还是一起撸代码吧...

Kafka网络层一哥:SocketServer类

  • 所在文件: core/src/main/scala/kafka/network/SocketServer.scala;
  • 统筹组织所有的网络层组件;
  • startup()方法: (1) 根据配置的若干endpoint创建相应的Acceptor及相关联的一组Processor线程;
代码语言:javascript复制
for (i <- processorBeginIndex until processorEndIndex) {
          processors(i) = new Processor(i,
            time,
            maxRequestSize,
            requestChannel,
            connectionQuotas,
            connectionsMaxIdleMs,
            protocol,
            config.values,
            metrics
          )
        }
val acceptor = new Acceptor(endpoint, sendBufferSize, recvBufferSize, brokerId,
processors.slice(processorBeginIndex, processorEndIndex), connectionQuotas)

(2) 创建Acceptor运行的线程并启动;

代码语言:javascript复制
Utils.newThread("kafka-socket-acceptor-%s-%d".format(protocol.toString, 
                          endpoint.port), acceptor, false).start()
acceptor.awaitStartup()

Kafka网络层头号马仔:Acceptor类

  • 所在文件: core/src/main/scala/kafka/network/SocketServer.scala
  • Acceptor类对象创建: (1) 创建监听ServerSocket:
代码语言:javascript复制
val serverChannel = ServerSocketChannel.open()
    serverChannel.configureBlocking(false)
    serverChannel.socket().setReceiveBufferSize(recvBufferSize)
    try {
      serverChannel.socket.bind(socketAddress)
      info("Awaiting socket connections on %s:%d.".format(socketAddress.getHostName, serverChannel.socket.getLocalPort))
    } catch {
      case e: SocketException =>
        throw new KafkaException("Socket server failed to bind to %s:%d: %s.".format(socketAddress.getHostName, port, e.getMessage), e)
    }

(2) 开启分配到的若干Processor:

代码语言:javascript复制
this.synchronized {
    processors.foreach { processor =>
      Utils.newThread("kafka-network-thread-%d-%s-%d".format(brokerId, endPoint.protocolType.toString, processor.id), processor, false).start()
    }
  }

(3) run()-利用NIO的selector来接收网络连接:

代码语言:javascript复制
var currentProcessor = 0
      while (isRunning) {
        try {
          val ready = nioSelector.select(500)
          if (ready > 0) {
            val keys = nioSelector.selectedKeys()
            val iter = keys.iterator()
            while (iter.hasNext && isRunning) {
              try {
                val key = iter.next
                iter.remove()
                if (key.isAcceptable)
                  accept(key, processors(currentProcessor))
                else
                  throw new IllegalStateException("Unrecognized key state for acceptor thread.")

                // round robin to the next processor thread
                currentProcessor = (currentProcessor   1) % processors.length
              } catch {
                case e: Throwable => error("Error while accepting connection", e)
              }
            }
          }
        }

这里面最主要的就是accept(key, processors(currentProcessor)) (4) accept: 设置新连接socket的参数后交由Processor处理:

代码语言:javascript复制
socketChannel.configureBlocking(false)
socketChannel.socket().setTcpNoDelay(true)
socketChannel.socket().setKeepAlive(true)
socketChannel.socket().setSendBufferSize(sendBufferSize)
processor.accept(socketChannel)

Kafka网络层堂口扛把子:Processor类

  • 所在文件:core/src/main/scala/kafka/network/SocketServer.scala;
  • 从单个连接进来的request都由它处理;
  • 每个Processor对象会创建自己的nio selector;
  • 每个连接有唯一标识ConnectionId:$localHost:$localPort-$remoteHost:$remotePort,这个非常重要!!!
  • accept(socketChannel::SocketChannel):将新连接的SocketChannel保存到并发队列Q1中;
  • run()是核心, 包裹在一个循环里,直接线程退出,while(isRunning) {},里面依次调用如下函数: (1) configureNewConnections():从并发队列Q1里取出SocketChannel,添加到自身的nio selector中,监听读事件; (2) processNewResponses():处理当前所有处理完成的request相应的response, 这些response都是从RequestChannel获得(requestChannel.receiveResponse),根据request的类型来决定从当前连接的nio selector中暂时删除读事件监听/添加写事件/关闭当前连接; (3) selector.poll(300): 这个就不用解释了, 这个selector是对nio selector的又一封装,我们后面一章会讲到,它完成具体的数据接收和发送; (4) selector.completedReceives.asScala.foreach: 处理当前所有的从selector返回的完整request,将其put到RequestChannel的一个阻塞队列里,供应用层获取并处理;同时会暂时删除些连接上的读事件监听:selector.mute(receive.source); (5) selector.completedSends.asScala.foreach: 处理当前所有的从selector返回的写操作,重新将读事件添加到连接的selector监听中selector.unmute(send.destination); (6) selector.disconnected.asScala.foreach: 处理当前所有将关闭的连接;

Kafka网络层中间人:RequestChannel类

  • 所在文件: core/src/main/scala/kafka/network/RequestChannel.scala;
  • 保存所有从网络层拿到的完整request和需要发送的response;
  • 一般是RequestHandler会周期性从RequestChannel获取request,并将response保存回RequestChannel;
  • processNewResponses() 处理RequestChannel中所有的response;

Kafka网络层看门小弟:ConnectionQuotas类

  • 所在文件:core/src/main/scala/kafka/network/SocketServer.scala;
  • 当某个IP到kafka的连接数过多时,将抛出TooManyConnectionsException异常;
  • 实现就是通过加锁的加减计数;

SocketServer 图解:

SocketServer.png

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