FrameDecoder说白了是解码器,可以将网络数据一帧一帧地解码出来
主要看起messageReceived
public void messageReceived(
ChannelHandlerContext ctx, MessageEvent e) throws Exception {
Object m = e.getMessage();
if (!(m instanceof ChannelBuffer)) {
ctx.sendUpstream(e);
return;
}
ChannelBuffer input = (ChannelBuffer) m;
if (!input.readable()) {
return;
}
if (cumulation == null) {
try {
// the cumulation buffer is not created yet so just pass the input to callDecode(...) method
callDecode(ctx, e.getChannel(), input, e.getRemoteAddress());
} finally {
updateCumulation(ctx, input);
}
} else {
input = appendToCumulation(input);
try {
callDecode(ctx, e.getChannel(), input, e.getRemoteAddress());
} finally {
updateCumulation(ctx, input);
}
}
}这里这个cumulation是关键,cumulation的是"累计的意思",即将数据累计起来,首先判断cululation是不是null,是null的话直接调用callDecode方法,不然先将input添加到culutation
callDecode()
private void callDecode(
ChannelHandlerContext context, Channel channel,
ChannelBuffer cumulation, SocketAddress remoteAddress) throws Exception {
while (cumulation.readable()) {
int oldReaderIndex = cumulation.readerIndex();
Object frame = decode(context, channel, cumulation);
if (frame == null) {
if (oldReaderIndex == cumulation.readerIndex()) {
// Seems like more data is required.
// Let us wait for the next notification.
break;
} else {
// Previous data has been discarded.
// Probably it is reading on.
continue;
}
} else if (oldReaderIndex == cumulation.readerIndex()) {
throw new IllegalStateException(
"decode() method must read at least one byte " +
"if it returned a frame (caused by: " + getClass() + ")");
}
unfoldAndFireMessageReceived(context, remoteAddress, frame);
}
}在unfoldAndFireMessageReceived()里面,会调用Channels.fireMessageReceived(),最后调用ctx.sendUpstream,事件会交给下一个Handler来处理
ChannelHandlerContext context, SocketAddress remoteAddress, Object result) {
if (unfold) {
if (result instanceof Object[]) {
for (Object r: (Object[]) result) {
Channels.fireMessageReceived(context, r, remoteAddress);
}
} else if (result instanceof Iterable<?>) {
for (Object r: (Iterable<?>) result) {
Channels.fireMessageReceived(context, r, remoteAddress);
}
} else {
Channels.fireMessageReceived(context, result, remoteAddress);
}
} else {
Channels.fireMessageReceived(context, result, remoteAddress);
}
}appendToCumulation()这里可以看出cumulation是CompositeChannelBuffer,当之前还有buffer没处理完时,与这次的buffer合并一起进行解码
protected ChannelBuffer appendToCumulation(ChannelBuffer input) {
ChannelBuffer cumulation = this.cumulation;
assert cumulation.readable();
if (cumulation instanceof CompositeChannelBuffer) {
// Make sure the resulting cumulation buffer has no more than the configured components.
CompositeChannelBuffer composite = (CompositeChannelBuffer) cumulation;
if (composite.numComponents() >= maxCumulationBufferComponents) {
cumulation = composite.copy();
}
}
this.cumulation = input = ChannelBuffers.wrappedBuffer(cumulation, input);
return input;
}另外一个函数时finally里面的updateCumulation()
protected ChannelBuffer updateCumulation(ChannelHandlerContext ctx, ChannelBuffer input) {
ChannelBuffer newCumulation;
int readableBytes = input.readableBytes();
if (readableBytes > 0) {
int inputCapacity = input.capacity();
// If input.readableBytes() == input.capacity() (i.e. input is full),
// there's nothing to save from creating a new cumulation buffer
// even if input.capacity() exceeds the threshold, because the new cumulation
// buffer will have the same capacity and content with input.
if (readableBytes < inputCapacity && inputCapacity > copyThreshold) {
// At least one byte was consumed by callDecode() and input.capacity()
// exceeded the threshold.
cumulation = newCumulation = newCumulationBuffer(ctx, input.readableBytes());
cumulation.writeBytes(input);
} else {
// Nothing was consumed by callDecode() or input.capacity() did not
// exceed the threshold.
if (input.readerIndex() != 0) {
cumulation = newCumulation = input.slice();
} else {
cumulation = newCumulation = input;
}
}
} else {
cumulation = newCumulation = null;
}
return newCumulation;
}在这个函数里面会对cumulation进行操作修改。这个是在finally,也就是对剩余的数据进行暂时的存取,因为不管是这个buffer比一帧数据大或者小,都不能只是一帧数据,少于一帧不能解码出来,大于一帧势必会有一部分需要暂时存取
本文详细解析了FrameDecoder的工作原理及其核心方法messageReceived的实现细节。重点介绍了cumulation缓冲区的作用,即如何累积网络数据并对其进行解码,以及如何处理剩余数据。
1928

被折叠的 条评论
为什么被折叠?



