上回通过代码理解了Netty底层信息的流的传递机制，不过只是一个感性上的认识。教会你应该如何使用和使用的时候应该注意的方面。但是有一些细节的问题，并没有提及。比如:
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private void sendMessageByFrame(ChannelStateEvent e) {
String msgOne = "Hello, ";
String msgTwo = "I'm ";
String msgThree = "client.";
e.getChannel().write(tranStr2Buffer(msgOne));
e.getChannel().write(tranStr2Buffer(msgTwo));
e.getChannel().write(tranStr2Buffer(msgThree));
}
这样的方式，连续返送三次消息。但是如果你在服务端进行接收计数的话，你会发现，大部分时候都是接收到两次的事件请求。不过消息都是完整的。网上也有人提到过，进行10000次的连续放松，往往接受到的消息个数是999X的，总是就是消息数目上不匹配，这又是为何呢？笔者也只能通过阅读Netty的源码来找原因，我们一起来慢慢分析吧www.it165.net。
起点自然是选择在e.getChannel().writer()方法上。一路跟踪首先来到了：AbstractNioWorker.java类
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protected void write0(AbstractNioChannel<?> channel) {
boolean open = true;
boolean addOpWrite = false;
boolean removeOpWrite = false;
boolean iothread = isIoThread(channel);
long writtenBytes = 0;
final SocketSendBufferPool sendBufferPool = this.sendBufferPool;
final WritableByteChannel ch = channel.channel;
final Queue<MessageEvent> writeBuffer = channel.writeBufferQueue;
final int writeSpinCount = channel.getConfig().getWriteSpinCount();
synchronized (channel.writeLock) {
channel.inWriteNowLoop = true;
for (;;) {
MessageEvent evt = channel.currentWriteEvent;
SendBuffer buf;
if (evt == null) {
if ((channel.currentWriteEvent = evt = writeBuffer.poll()) == null) {
removeOpWrite = true;
channel.writeSuspended = false;
break;
}
channel.currentWriteBuffer = buf = sendBufferPool.acquire(evt.getMessage());
} else {
buf = channel.currentWriteBuffer;
}
ChannelFuture future = evt.getFuture();
try {
long localWrittenBytes = 0;
for (int i = writeSpinCount; i > 0; i –) {
localWrittenBytes = buf.transferTo(ch);
if (localWrittenBytes != 0) {
writtenBytes += localWrittenBytes;
break;
}
if (buf.finished()) {
break;
}
}
if (buf.finished()) {
// Successful write – proceed to the next message.
buf.release();
channel.currentWriteEvent = null;
channel.currentWriteBuffer = null;
evt = null;
buf = null;
future.setSuccess();
} else {
// Not written fully – perhaps the kernel buffer is full.
addOpWrite = true;
channel.writeSuspended = true;
if (localWrittenBytes > 0) {
// Notify progress listeners if necessary.
future.setProgress(
localWrittenBytes,
buf.writtenBytes(), buf.totalBytes());
}
break;
}
} catch (AsynchronousCloseException e) {
// Doesn't need a user attention – ignore.
} catch (Throwable t) {
if (buf != null) {
buf.release();
}
channel.currentWriteEvent = null;
channel.currentWriteBuffer = null;
buf = null;
evt = null;
future.setFailure(t);
if (iothread) {
fireExceptionCaught(channel, t);
} else {
fireExceptionCaughtLater(channel, t);
}
if (t instanceof IOException) {
open = false;
close(channel, succeededFuture(channel));
}
}
}
channel.inWriteNowLoop = false;
// Initially, the following block was executed after releasing
// the writeLock, but there was a race condition, and it has to be
// executed before releasing the writeLock:
//
// https://issues.jboss.org/browse/NETTY-410
//
if (open) {
if (addOpWrite) {
setOpWrite(channel);
} else if (removeOpWrite) {
clearOpWrite(channel);
}
}
}
if (iothread) {
fireWriteComplete(channel, writtenBytes);
} else {
fireWriteCompleteLater(channel, writtenBytes);
}
}
这里， buf.transferTo(ch);的就是调用底层WritableByteChannel的write方法，把buffer写到管道里，传递过去。通过Debug可以看到，没调用一次这个方法，服务端的messageReceived方法就会进入断点一次。当然这个也只是表相，或者说也是在预料之内的。因为笔者从开始就怀疑是连续写入过快导致的问题，所以测试过每次write后停顿1秒。再write下一次。结果一切正常。
那么我们跟到这里的意义何在呢？笔者的思路是先证明不是在write端出现的写覆盖的问题，这样就可以从read端寻找问题。这里笔者也在这里加入了一个计数，测试究竟transferTo了几次。结果确实是3次。
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for (int i = writeSpinCount; i > 0; i –) {
localWrittenBytes = buf.transferTo(ch);
System.out.println(++count);
接下来就从接收端找找原因，在NioWorker的read方法，实现如下：
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@Override
protected boolean read(SelectionKey k) {
final SocketChannel ch = (SocketChannel) k.channel();
final NioSocketChannel channel = (NioSocketChannel) k.attachment();
final ReceiveBufferSizePredictor predictor =
channel.getConfig().getReceiveBufferSizePredictor();
final int predictedRecvBufSize = predictor.nextReceiveBufferSize();
int ret = 0;
int readBytes = 0;
boolean failure = true;
ByteBuffer bb = recvBufferPool.acquire(predictedRecvBufSize);
try {
while ((ret = ch.read(bb)) > 0) {
readBytes += ret;
if (!bb.hasRemaining()) {
break;
}
}
failure = false;
} catch (ClosedChannelException e) {
// Can happen, and does not need a user attention.
} catch (Throwable t) {
fireExceptionCaught(channel, t);
}
if (readBytes > 0) {
bb.flip();
final ChannelBufferFactory bufferFactory =
channel.getConfig().getBufferFactory();
final ChannelBuffer buffer = bufferFactory.getBuffer(readBytes);
buffer.setBytes(0, bb);
buffer.writerIndex(readBytes);
recvBufferPool.release(bb);
// Update the predictor.
predictor.previousReceiveBufferSize(readBytes);
// Fire the event.
fireMessageReceived(channel, buffer);
} else {
recvBufferPool.release(bb);
}
if (ret < 0 || failure) {
k.cancel(); // Some JDK implementations run into an infinite loop without this.
close(channel, succeededFuture(channel));
return false;
}
return true;
}
在这个方法的外层是一个循环，不停的遍历，如果有SelectionKey k存在，则进入此方法读取buffer中的数据。这个SelectionKey 区分只是一种类型，这个设计到Java NIO中的Seletor机制，这个笔者准备下讲穿插一下。属于Netty底层的一个重要的机制。
messageReceived事件的触发，是在读取完当前缓冲池中所有的信息之后在触发的。这倒是可以解释，为什么即使我们收到事件的次数少，但是消息是完整的。
从目前来看，Netty通过Java 的NIO机制传递数据，数据读写跟事件没有严格的绑定机制。数据是以流的形式独立存在，读写都有一个缓冲池。
