原文链接 http://tutorials.jenkov.com/java-nio/nio-vs-io.html
Main Differences Between Java NIO and IO
| IO | NIO |
|---|---|
| Stream oriented | Buffer oriented |
| Blocking IO | Non blocking IO |
| Data | Selectors |
Stream Oriented vs. Buffer Oriented
The first big difference between Java NIO and IO is that IO is stream oriented, where NIO is buffer oriented. So, what does that mean?
首先最大的不同点是，NIO是面向Buffer的，IO是面向流的。
Java IO being stream oriented means that you read one or more bytes at a time, from a stream. What you do with the read bytes is up to you. They are not cached anywhere. Furthermore, you cannot move forth and back in the data in a stream. If you need to move forth and back in the data read from a stream, you will need to cache it in a buffer first.
Java NIO's buffer oriented approach is slightly different. Data is read into a buffer from which it is later processed. You can move forth and back in the buffer as you need to. This gives you a bit more flexibility during processing. However, you also need to check if the buffer contains all the data you need in order to fully process it. And, you need to make sure that when reading more data into the buffer, you do not overwrite data in the buffer you have not yet processed.
区别主要在读写数据的容器上，普通IO只支持读入到一个字节数据，而NIO支持读写一个包装好的Buffer类（缓冲区）。通过设置缓冲器的读写位置（Position）可以指定读写缓冲期的任意位置。看起来更灵活。
Blocking vs. Non-blocking IO
Java IO's various streams are blocking. That means, that when a thread invokes a read() or write(), that thread is blocked until there is some data to read, or the data is fully written. The thread can do nothing else in the meantime.
Java IO 面向流是阻塞的。意味着，一个线程执行 read() 或者 write() 期间，线程都是阻塞状态，一直到有数据被读取或者数据全部写入。该线程在此期间不能做任何其他事情。
Java NIO's non-blocking mode enables a thread to request reading data from a channel, and only get what is currently available, or nothing at all, if no data is currently available. Rather than remain blocked until data becomes available for reading, the thread can go on with something else.
Java NIO 非阻塞模型使得线程从通道（channel）读取数据时，只关心当前能获取到的数据，如果数据没有准备好，则什么都不会获取。相比一直阻塞等待有数据可以读取，当前线程可以继续去做其他的事情。
The same is true for non-blocking writing. A thread can request that some data be written to a channel, but not wait for it to be fully written. The thread can then go on and do something else in the mean time.
非阻塞写也是如此。线程可以发起请求写入管道（channel），而不必等待数据完全被写入完毕。这个期间当前线程可以继续去执行其他的一些事情。
What threads spend their idle time on when not blocked in IO calls, is usually performing IO on other channels in the meantime. That is, a single thread can now manage multiple channels of input and output.
线程执NIO非阻塞带来的空闲时间片，通常用于执行其他管道的IO操作。也就是说，单线程可以同时管理多个管道的输入和输出。
Selectors
Java NIO's selectors allow a single thread to monitor multiple channels of input. You can register multiple channels with a selector, then use a single thread to "select" the channels that have input available for processing, or select the channels that are ready for writing. This selector mechanism makes it easy for a single thread to manage multiple channels.
Java NIO 选择器（Selectors）允许单线程同时监听多个输入管道。你可以在一个选择器上注册多个管道，然后使用单线程选择（select）管道：有输入可以被处理，或者准备好了被写入。选择器机制使得单线程管理多个管道变的简单。
How NIO and IO Influences Application Design
Whether you choose NIO or IO as your IO toolkit may impact the following aspects of your application design:
- The API calls to the NIO or IO classes.
- The processing of data.
- The number of thread used to process the data.
The API Calls
Of course the API calls when using NIO look different than when using IO. This is no surprise. Rather than just read the data byte for byte from e.g. an InputStream, the data must first be read into a buffer, and then be processed from there.
The Processing of Data
The processing of the data is also affected when using a pure NIO design, vs. an IO design.
In an IO design you read the data byte for byte from an InputStream or a Reader. Imagine you were processing a stream of line based textual data. For instance:
Name: Anna
Age: 25
Email: [email protected]
Phone: 1234567890
This stream of text lines could be processed like this:
InputStream input = ... ; // get the InputStream from the client socket
BufferedReader reader = new BufferedReader(new InputStreamReader(input));
String nameLine = reader.readLine();
String ageLine = reader.readLine();
String emailLine = reader.readLine();
String phoneLine = reader.readLine();
Notice how the processing state is determined by how far the program has executed. In other words, once the first reader.readLine() method returns, you know for sure that a full line of text has been read. The readLine() blocks until a full line is read, that's why. You also know that this line contains the name. Similarly, when the second readLine() call returns, you know that this line contains the age etc.
As you can see, the program progresses only when there is new data to read, and for each step you know what that data is. Once the executing thread have progressed past reading a certain piece of data in the code, the thread is not going backwards in the data (mostly not). This principle is also illustrated in this diagram:
A NIO implementation would look different. Here is a simplified example:
ByteBuffer buffer = ByteBuffer.allocate(48);
int bytesRead = inChannel.read(buffer);
Notice the second line which reads bytes from the channel into the ByteBuffer. When that method call returns you don't know if all the data you need is inside the buffer. All you know is that the buffer contains some bytes. This makes processing somewhat harder.
Imagine if, after the first read(buffer) call, that all what was read into the buffer was half a line. For instance, "Name: An". Can you process that data? Not really. You need to wait until at leas a full line of data has been into the buffer, before it makes sense to process any of the data at all.
So how do you know if the buffer contains enough data for it to make sense to be processed? Well, you don't. The only way to find out, is to look at the data in the buffer. The result is, that you may have to inspect the data in the buffer several times before you know if all the data is inthere. This is both inefficient, and can become messy in terms of program design. For instance:
ByteBuffer buffer = ByteBuffer.allocate(48);
int bytesRead = inChannel.read(buffer);
while(! bufferFull(bytesRead) ) {
bytesRead = inChannel.read(buffer);
}
The bufferFull() method has to keep track of how much data is read into the buffer, and return either true or false, depending on whether the buffer is full. In other words, if the buffer is ready for processing, it is considered full.
The bufferFull() method scans through the buffer, but must leave the buffer in the same state as before the bufferFull() method was called. If not, the next data read into the buffer might not be read in at the correct location. This is not impossible, but it is yet another issue to watch out for.
If the buffer is full, it can be processed. If it is not full, you might be able to partially process whatever data is there, if that makes sense in your particular case. In many cases it doesn't.
The is-data-in-buffer-ready loop is illustrated in this diagram:
Summary
NIO allows you to manage multiple channels (network connections or files) using only a single (or few) threads, but the cost is that parsing the data might be somewhat more complicated than when reading data from a blocking stream.
得益于IO多路复用，NIO允许一个线程管理多个管道。付出的代价相比于从一个阻塞流中读取数据编码变的更复杂。
If you need to manage thousands of open connections simultanously, which each only send a little data, for instance a chat server, implementing the server in NIO is probably an advantage. Similarly, if you need to keep a lot of open connections to other computers, e.g. in a P2P network, using a single thread to manage all of your outbound connections might be an advantage. This one thread, multiple connections design is illustrated in this diagram:
如果需要管理同时打开的成千上万个连接，这些连接每次只是发送少量的数据，例如聊天服务器，实现NIO的服务器可能是一个优势。同样，如果你需要维持许多打开的连接到其他计算机上，如P2P网络中，使用一个单独的线程来管理你所有出站连接，可能是一个优势
If you have fewer connections with very high bandwidth, sending a lot of data at a time, perhaps a classic IO server implementation might be the best fit. This diagram illustrates a classic IO server design:
如果你有少量的连接使用非常高的带宽，一次发送大量的数据，也许典型的IO服务器实现可能非常契合。
我的总结
编程方式：
- IO面向流（Stream）NIO面向Buffer和Channel
- Channel 是双向的 Stream是单向的
- NIO中的Buffer有更完善的抽象和灵活操作
- NIO支持零拷贝
- NIO支持IO多路复用