User guide for 4.x
Nowadays we use general purpose applications or libraries to communicate with each other. For example, we often use an HTTP client library to retrieve information from a web server and to invoke a remote procedure call via web services. However, a general purpose protocol or its implementation sometimes does not scale very well. It is like how we don't use a general purpose HTTP server to exchange huge files, e-mail messages, and near-realtime messages such as financial information and multiplayer game data. What's required is a highly optimized protocol implementation that is dedicated to a special purpose. For example, you might want to implement an HTTP server that is optimized for AJAX-based chat application, media streaming, or large file transfer. You could even want to design and implement a whole new protocol that is precisely tailored to your need. Another inevitable case is when you have to deal with a legacy proprietary protocol to ensure the interoperability with an old system. What matters in this case is how quickly we can implement that protocol while not sacrificing the stability and performance of the resulting application.
The Netty project is an effort to provide an asynchronous event-driven network application framework and tooling for the rapid development of maintainable high-performance and high-scalability protocol servers and clients.
In other words, Netty is an NIO client server framework that enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server development.
'Quick and easy' does not mean that a resulting application will suffer from a maintainability or a performance issue. Netty has been designed carefully with the experiences learned from the implementation of a lot of protocols such as FTP, SMTP, HTTP, and various binary and text-based legacy protocols. As a result, Netty has succeeded to find a way to achieve ease of development, performance, stability, and flexibility without a compromise.
Some users might already have found other network application frameworks that claim to have the same advantage, and you might want to ask what makes Netty so different from them. The answer is the philosophy it is built on. Netty is designed to give you the most comfortable experience both in terms of the API and the implementation from day one. It is not something tangible but you will realize that this philosophy will make your life much easier as you read this guide and play with Netty.
This chapter tours around the core constructs of Netty with simple examples to let you get started quickly. You will be able to write a client and a server on top of Netty right away when you are at the end of this chapter.
If you prefer a top-down approach in learning something, you might want to start from Chapter 2, Architectural Overview and get back here.
The minimum requirements to run the examples in this chapter are only two; the latest version of Netty and JDK 1.6 or above. The latest version of Netty is available in the project download page. To download the right version of JDK, please refer to your preferred JDK vendor's web site.
As you read, you might have more questions about the classes introduced in this chapter. Please refer to the API reference whenever you want to know more about them. All class names in this document are linked to the online API reference for your convenience. Also, please don't hesitate to contact the Netty project community and let us know if there's any incorrect information, errors in grammar or typos, and if you have any good ideas to help improve the documentation.
The most simplistic protocol in the world is not 'Hello, World!' but DISCARD
. It's a protocol that discards any received data without any response.
To implement the DISCARD
protocol, the only thing you need to do is to ignore all received data. Let us start straight from the handler implementation, which handles I/O events generated by Netty.
package io.netty.example.discard;
import io.netty.buffer.ByteBuf;
import io.netty.channel.ChannelHandlerContext;
import io.netty.channel.ChannelInboundHandlerAdapter;
/**
* Handles a server-side channel.
*/
public class DiscardServerHandler extends ChannelInboundHandlerAdapter { // (1)
@Override
public void channelRead(ChannelHandlerContext ctx, Object msg) { // (2)
// Discard the received data silently.
((ByteBuf) msg).release(); // (3)
}
@Override
public void exceptionCaught(ChannelHandlerContext ctx, Throwable cause) { // (4)
// Close the connection when an exception is raised.
cause.printStackTrace();
ctx.close();
}
}
-
DiscardServerHandler
extendsChannelInboundHandlerAdapter
, which is an implementation ofChannelInboundHandler
.ChannelInboundHandler
provides various event handler methods that you can override. For now, it is just enough to extendChannelInboundHandlerAdapter
rather than to implement the handler interface by yourself. - We override the
channelRead()
event handler method here. This method is called with the received message, whenever new data is received from a client. In this example, the type of the received message isByteBuf
. - To implement the
DISCARD
protocol, the handler has to ignore the received message.ByteBuf
is a reference-counted object which has to be released explicitly via therelease()
method. Please keep in mind that it is the handler's responsibility to release any reference-counted object passed to the handler. Usually,channelRead()
handler method is implemented like the following:
@Override
public void channelRead(ChannelHandlerContext ctx, Object msg) {
try {
// Do something with msg
} finally {
ReferenceCountUtil.release(msg);
}
}
- The
exceptionCaught()
event handler method is called with a Throwable when an exception was raised by Netty due to an I/O error or by a handler implementation due to the exception thrown while processing events. In most cases, the caught exception should be logged and its associated channel should be closed here, although the implementation of this method can be different depending on what you want to do to deal with an exceptional situation. For example, you might want to send a response message with an error code before closing the connection.
So far so good. We have implemented the first half of the DISCARD
server. What's left now is to write the main()
method which starts the server with the DiscardServerHandler
.
package io.netty.example.discard;
import io.netty.bootstrap.ServerBootstrap;
import io.netty.channel.ChannelFuture;
import io.netty.channel.ChannelInitializer;
import io.netty.channel.ChannelOption;
import io.netty.channel.EventLoopGroup;
import io.netty.channel.nio.NioEventLoopGroup;
import io.netty.channel.socket.SocketChannel;
import io.netty.channel.socket.nio.NioServerSocketChannel;
/**
* Discards any incoming data.
*/
public class DiscardServer {
private int port;
public DiscardServer(int port) {
this.port = port;
}
public void run() throws Exception {
EventLoopGroup bossGroup = new NioEventLoopGroup(); // (1)
EventLoopGroup workerGroup = new NioEventLoopGroup();
try {
ServerBootstrap b = new ServerBootstrap(); // (2)
b.group(bossGroup, workerGroup)
.channel(NioServerSocketChannel.class) // (3)
.childHandler(new ChannelInitializer<SocketChannel>() { // (4)
@Override
public void initChannel(SocketChannel ch) throws Exception {
ch.pipeline().addLast(new DiscardServerHandler());
}
})
.option(ChannelOption.SO_BACKLOG, 128) // (5)
.childOption(ChannelOption.SO_KEEPALIVE, true); // (6)
// Bind and start to accept incoming connections.
ChannelFuture f = b.bind(port).sync(); // (7)
// Wait until the server socket is closed.
// In this example, this does not happen, but you can do that to gracefully
// shut down your server.
f.channel().closeFuture().sync();
} finally {
workerGroup.shutdownGracefully();
bossGroup.shutdownGracefully();
}
}
public static void main(String[] args) throws Exception {
int port = 8080;
if (args.length > 0) {
port = Integer.parseInt(args[0]);
}
new DiscardServer(port).run();
}
}
-
NioEventLoopGroup
is a multithreaded event loop that handles I/O operation. Netty provides variousEventLoopGroup
implementations for different kind of transports. We are implementing a server-side application in this example, and therefore twoNioEventLoopGroup
will be used. The first one, often called 'boss', accepts an incoming connection. The second one, often called 'worker', handles the traffic of the accepted connection once the boss accepts the connection and registers the accepted connection to the worker. How many Threads are used and how they are mapped to the createdChannel
s depends on theEventLoopGroup
implementation and may be even configurable via a constructor. -
ServerBootstrap
is a helper class that sets up a server. You can set up the server using aChannel
directly. However, please note that this is a tedious process, and you do not need to do that in most cases. - Here, we specify to use the
NioServerSocketChannel
class which is used to instantiate a newChannel
to accept incoming connections. - The handler specified here will always be evaluated by a newly accepted
Channel
. TheChannelInitializer
is a special handler that is purposed to help a user configure a newChannel
. It is most likely that you want to configure theChannelPipeline
of the newChannel
by adding some handlers such asDiscardServerHandler
to implement your network application. As the application gets complicated, it is likely that you will add more handlers to the pipeline and extract this anonymous class into a top-level class eventually. - You can also set the parameters which are specific to the
Channel
implementation. We are writing a TCP/IP server, so we are allowed to set the socket options such astcpNoDelay
andkeepAlive
. Please refer to the apidocs ofChannelOption
and the specificChannelConfig
implementations to get an overview about the supportedChannelOption
s. - Did you notice
option()
andchildOption()
?option()
is for theNioServerSocketChannel
that accepts incoming connections.childOption()
is for theChannel
s accepted by the parentServerChannel
, which isNioSocketChannel
in this case. - We are ready to go now. What's left is to bind to the port and to start the server. Here, we bind to the port
8080
of all NICs (network interface cards) in the machine. You can now call thebind()
method as many times as you want (with different bind addresses.)
Congratulations! You've just finished your first server on top of Netty.
Now that we have written our first server, we need to test if it really works. The easiest way to test it is to use the telnet command. For example, you could enter telnet localhost 8080
in the command line and type something.
However, can we say that the server is working fine? We cannot really know that because it is a discard server. You will not get any response at all. To prove it is really working, let us modify the server to print what it has received.
We already know that channelRead()
method is invoked whenever data is received. Let us put some code into the channelRead()
method of the DiscardServerHandler
:
@Override
public void channelRead(ChannelHandlerContext ctx, Object msg) {
ByteBuf in = (ByteBuf) msg;
try {
while (in.isReadable()) { // (1)
System.out.print((char) in.readByte());
System.out.flush();
}
} finally {
ReferenceCountUtil.release(msg); // (2)
}
}
- This inefficient loop can actually be simplified to:
System.out.println(in.toString(io.netty.util.CharsetUtil.US_ASCII))
- Alternatively, you could do
in.release()
here.
If you run the telnet command again, you will see the server prints what it has received.
The full source code of the discard server is located in the io.netty.example.discard
package of the distribution.
So far, we have been consuming data without responding at all. A server, however, is usually supposed to respond to a request. Let us learn how to write a response message to a client by implementing the ECHO
protocol, where any received data is sent back.
The only difference from the discard server we have implemented in the previous sections is that it sends the received data back instead of printing the received data out to the console. Therefore, it is enough again to modify the channelRead()
method:
@Override
public void channelRead(ChannelHandlerContext ctx, Object msg) {
ctx.write(msg); // (1)
ctx.flush(); // (2)
}
- A
ChannelHandlerContext
object provides various operations that enable you to trigger various I/O events and operations. Here, we invokewrite(Object)
to write the received message in verbatim. Please note that we did not release the received message unlike we did in theDISCARD
example. It is because Netty releases it for you when it is written out to the wire. -
ctx.write(Object)
does not make the message written out to the wire. It is buffered internally and then flushed out to the wire byctx.flush()
. Alternatively, you could callctx.writeAndFlush(msg)
for brevity.
If you run the telnet command again, you will see the server sends back whatever you have sent to it.
The full source code of the echo server is located in the io.netty.example.echo
package of the distribution.
The protocol to implement in this section is the TIME
protocol. It is different from the previous examples in that it sends a message, which contains a 32-bit integer, without receiving any requests and closes the connection once the message is sent. In this example, you will learn how to construct and send a message, and to close the connection on completion.
Because we are going to ignore any received data but to send a message as soon as a connection is established, we cannot use the channelRead()
method this time. Instead, we should override the channelActive()
method. The following is the implementation:
package io.netty.example.time;
public class TimeServerHandler extends ChannelInboundHandlerAdapter {
@Override
public void channelActive(final ChannelHandlerContext ctx) { // (1)
final ByteBuf time = ctx.alloc().buffer(4); // (2)
time.writeInt((int) (System.currentTimeMillis() / 1000L + 2208988800L));
final ChannelFuture f = ctx.writeAndFlush(time); // (3)
f.addListener(new ChannelFutureListener() {
@Override
public void operationComplete(ChannelFuture future) {
assert f == future;
ctx.close();
}
}); // (4)
}
@Override
public void exceptionCaught(ChannelHandlerContext ctx, Throwable cause) {
cause.printStackTrace();
ctx.close();
}
}
-
As explained, the
channelActive()
method will be invoked when a connection is established and ready to generate traffic. Let's write a 32-bit integer that represents the current time in this method. -
To send a new message, we need to allocate a new buffer which will contain the message. We are going to write a 32-bit integer, and therefore we need a
ByteBuf
whose capacity is at least 4 bytes. Get the currentByteBufAllocator
viaChannelHandlerContext.alloc()
and allocate a new buffer. -
As usual, we write the constructed message.
But wait, where's the flip? Didn't we used to call
java.nio.ByteBuffer.flip()
before sending a message in NIO?ByteBuf
does not have such a method because it has two pointers; one for read operations and the other for write operations. The writer index increases when you write something to aByteBuf
while the reader index does not change. The reader index and the writer index represents where the message starts and ends respectively.In contrast, NIO buffer does not provide a clean way to figure out where the message content starts and ends without calling the flip method. You will be in trouble when you forget to flip the buffer because nothing or incorrect data will be sent. Such an error does not happen in Netty because we have different pointer for different operation types. You will find it makes your life much easier as you get used to it -- a life without flipping out!
Another point to note is that the
ChannelHandlerContext.write()
(andwriteAndFlush()
) method returns aChannelFuture
. AChannelFuture
represents an I/O operation which has not yet occurred. It means, any requested operation might not have been performed yet because all operations are asynchronous in Netty. For example, the following code might close the connection even before a message is sent:Channel ch = ...; ch.writeAndFlush(message); ch.close();
Therefore, you need to call the
close()
method after theChannelFuture
is complete, which was returned by thewrite()
method, and it notifies its listeners when the write operation has been done. Please note that,close()
also might not close the connection immediately, and it returns aChannelFuture
. -
How do we get notified when a write request is finished then? This is as simple as adding a
ChannelFutureListener
to the returnedChannelFuture
. Here, we created a new anonymousChannelFutureListener
which closes theChannel
when the operation is done.Alternatively, you could simplify the code using a pre-defined listener:
f.addListener(ChannelFutureListener.CLOSE);
To test if our time server works as expected, you can use the UNIX rdate
command:
$ rdate -o <port> -p <host>
where <port>
is the port number you specified in the main()
method and <host>
is usually localhost
.
Unlike DISCARD
and ECHO
servers, we need a client for the TIME
protocol because a human cannot translate a 32-bit binary data into a date on a calendar. In this section, we discuss how to make sure the server works correctly and learn how to write a client with Netty.
The biggest and only difference between a server and a client in Netty is that different Bootstrap
and Channel
implementations are used. Please take a look at the following code:
package io.netty.example.time;
public class TimeClient {
public static void main(String[] args) throws Exception {
String host = args[0];
int port = Integer.parseInt(args[1]);
EventLoopGroup workerGroup = new NioEventLoopGroup();
try {
Bootstrap b = new Bootstrap(); // (1)
b.group(workerGroup); // (2)
b.channel(NioSocketChannel.class); // (3)
b.option(ChannelOption.SO_KEEPALIVE, true); // (4)
b.handler(new ChannelInitializer<SocketChannel>() {
@Override
public void initChannel(SocketChannel ch) throws Exception {
ch.pipeline().addLast(new TimeClientHandler());
}
});
// Start the client.
ChannelFuture f = b.connect(host, port).sync(); // (5)
// Wait until the connection is closed.
f.channel().closeFuture().sync();
} finally {
workerGroup.shutdownGracefully();
}
}
}
-
Bootstrap
is similar toServerBootstrap
except that it's for non-server channels such as a client-side or connectionless channel. - If you specify only one
EventLoopGroup
, it will be used both as a boss group and as a worker group. The boss worker is not used for the client side though. - Instead of
NioServerSocketChannel
,NioSocketChannel
is being used to create a client-sideChannel
. - Note that we do not use
childOption()
here unlike we did withServerBootstrap
because the client-sideSocketChannel
does not have a parent. - We should call the
connect()
method instead of thebind()
method.
As you can see, it is not really different from the server-side code. What about the ChannelHandler
implementation? It should receive a 32-bit integer from the server, translate it into a human-readable format, print the translated time, and close the connection:
package io.netty.example.time;
import java.util.Date;
import io.netty.buffer.ByteBuf;
import io.netty.channel.ChannelHandlerContext;
import io.netty.channel.ChannelInboundHandlerAdapter;
public class TimeClientHandler extends ChannelInboundHandlerAdapter {
@Override
public void channelRead(ChannelHandlerContext ctx, Object msg) {
ByteBuf m = (ByteBuf) msg; // (1)
try {
long currentTimeMillis = (m.readUnsignedInt() - 2208988800L) * 1000L;
System.out.println(new Date(currentTimeMillis));
ctx.close();
} finally {
m.release();
}
}
@Override
public void exceptionCaught(ChannelHandlerContext ctx, Throwable cause) {
cause.printStackTrace();
ctx.close();
}
}
- In TCP/IP, Netty reads the data sent from a peer into a
ByteBuf
.
It looks very simple and does not look any different from the server side example. However, this handler sometimes will refuse to work raising an IndexOutOfBoundsException
. We discuss why this happens in the next section.
In a stream-based transport such as TCP/IP, received data is stored into a socket receive buffer. Unfortunately, the buffer of a stream-based transport is not a queue of packets but a queue of bytes. It means, even if you sent two messages as two independent packets, an operating system will not treat them as two messages but as just a bunch of bytes. Therefore, there is no guarantee that what you read is exactly what your remote peer wrote. For example, let us assume that the TCP/IP stack of an operating system has received three packets:
Because of this general property of a stream-based protocol, there's a high chance of reading them in the following fragmented form in your application:
Therefore, a receiving part, regardless it is server-side or client-side, should defrag the received data into one or more meaningful frames that could be easily understood by the application logic. In the case of the example above, the received data should be framed like the following:
Now let us get back to the TIME
client example. We have the same problem here. A 32-bit integer is a very small amount of data, and it is not likely to be fragmented often. However, the problem is that it can be fragmented, and the possibility of fragmentation will increase as the traffic increases.
The simplistic solution is to create an internal cumulative buffer and wait until all 4 bytes are received into the internal buffer. The following is the modified TimeClientHandler
implementation that fixes the problem:
package io.netty.example.time;
public class TimeClientHandler extends ChannelInboundHandlerAdapter {
private ByteBuf buf;
@Override
public void handlerAdded(ChannelHandlerContext ctx) {
buf = ctx.alloc().buffer(4); // (1)
}
@Override
public void handlerRemoved(ChannelHandlerContext ctx) {
buf.release(); // (1)
buf = null;
}
@Override
public void channelRead(ChannelHandlerContext ctx, Object msg) {
ByteBuf m = (ByteBuf) msg;
buf.writeBytes(m); // (2)
m.release();
if (buf.readableBytes() >= 4) { // (3)
long currentTimeMillis = (buf.readUnsignedInt() - 2208988800L) * 1000L;
System.out.println(new Date(currentTimeMillis));
ctx.close();
}
}
@Override
public void exceptionCaught(ChannelHandlerContext ctx, Throwable cause) {
cause.printStackTrace();
ctx.close();
}
}
- A
ChannelHandler
has two life cycle listener methods:handlerAdded()
andhandlerRemoved()
. You can perform an arbitrary (de)initialization task as long as it does not block for a long time. - First, all received data should be cumulated into
buf
. - And then, the handler must check if
buf
has enough data, 4 bytes in this example, and proceed to the actual business logic. Otherwise, Netty will call thechannelRead()
method again when more data arrives, and eventually all 4 bytes will be cumulated.
Although the first solution has resolved the problem with the TIME
client, the modified handler does not look that clean. Imagine a more complicated protocol which is composed of multiple fields such as a variable length field. Your ChannelInboundHandler
implementation will become unmaintainable very quickly.
As you may have noticed, you can add more than one ChannelHandler
to a ChannelPipeline
, and therefore, you can split one monolithic ChannelHandler
into multiple modular ones to reduce the complexity of your application. For example, you could split TimeClientHandler
into two handlers:
-
TimeDecoder
which deals with the fragmentation issue, and - the initial simple version of
TimeClientHandler
.
Fortunately, Netty provides an extensible class which helps you write the first one out of the box:
package io.netty.example.time;
public class TimeDecoder extends ByteToMessageDecoder { // (1)
@Override
protected void decode(ChannelHandlerContext ctx, ByteBuf in, List<Object> out) { // (2)
if (in.readableBytes() < 4) {
return; // (3)
}
out.add(in.readBytes(4)); // (4)
}
}
-
ByteToMessageDecoder
is an implementation ofChannelInboundHandler
which makes it easy to deal with the fragmentation issue. -
ByteToMessageDecoder
calls thedecode()
method with an internally maintained cumulative buffer whenever new data is received. -
decode()
can decide to add nothing toout
when there is not enough data in the cumulative buffer.ByteToMessageDecoder
will calldecode()
again when there is more data received. - If
decode()
adds an object toout
, it means the decoder decoded a message successfully.ByteToMessageDecoder
will discard the read part of the cumulative buffer. Please remember that you don't need to decode multiple messages.ByteToMessageDecoder
will keep calling thedecode()
method until it adds nothing toout
.
Now that we have another handler to insert into the ChannelPipeline
, we should modify the ChannelInitializer
implementation in the TimeClient
:
b.handler(new ChannelInitializer<SocketChannel>() {
@Override
public void initChannel(SocketChannel ch) throws Exception {
ch.pipeline().addLast(new TimeDecoder(), new TimeClientHandler());
}
});
If you are an adventurous person, you might want to try the ReplayingDecoder
which simplifies the decoder even more. You will need to consult the API reference for more information though.
public class TimeDecoder extends ReplayingDecoder<Void> {
@Override
protected void decode(
ChannelHandlerContext ctx, ByteBuf in, List<Object> out) {
out.add(in.readBytes(4));
}
}
Additionally, Netty provides out-of-the-box decoders which enables you to implement most protocols very easily and helps you avoid from ending up with a monolithic unmaintainable handler implementation. Please refer to the following packages for more detailed examples:
-
io.netty.example.factorial
for a binary protocol, and -
io.netty.example.telnet
for a text line-based protocol.
All the examples we have reviewed so far used a ByteBuf
as a primary data structure of a protocol message. In this section, we will improve the TIME
protocol client and server example to use a POJO instead of a ByteBuf
.
The advantage of using a POJO in your ChannelHandler
s is obvious; your handler becomes more maintainable and reusable by separating the code which extracts information from ByteBuf
out from the handler. In the TIME
client and server examples, we read only one 32-bit integer and it is not a major issue to use ByteBuf
directly. However, you will find it is necessary to make the separation as you implement a real-world protocol.
First, let us define a new type called UnixTime
.
package io.netty.example.time;
import java.util.Date;
public class UnixTime {
private final long value;
public UnixTime() {
this(System.currentTimeMillis() / 1000L + 2208988800L);
}
public UnixTime(long value) {
this.value = value;
}
public long value() {
return value;
}
@Override
public String toString() {
return new Date((value() - 2208988800L) * 1000L).toString();
}
}
We can now revise the TimeDecoder
to produce a UnixTime
instead of a ByteBuf
.
@Override
protected void decode(ChannelHandlerContext ctx, ByteBuf in, List<Object> out) {
if (in.readableBytes() < 4) {
return;
}
out.add(new UnixTime(in.readUnsignedInt()));
}
With the updated decoder, the TimeClientHandler
does not use ByteBuf
anymore:
@Override
public void channelRead(ChannelHandlerContext ctx, Object msg) {
UnixTime m = (UnixTime) msg;
System.out.println(m);
ctx.close();
}
Much simpler and elegant, right? The same technique can be applied on the server side. Let us update the TimeServerHandler
first this time:
@Override
public void channelActive(ChannelHandlerContext ctx) {
ChannelFuture f = ctx.writeAndFlush(new UnixTime());
f.addListener(ChannelFutureListener.CLOSE);
}
Now, the only missing piece is an encoder, which is an implementation of ChannelOutboundHandler
that translates a UnixTime
back into a ByteBuf
. It's much simpler than writing a decoder because there's no need to deal with packet fragmentation and assembly when encoding a message.
package io.netty.example.time;
public class TimeEncoder extends ChannelOutboundHandlerAdapter {
@Override
public void write(ChannelHandlerContext ctx, Object msg, ChannelPromise promise) {
UnixTime m = (UnixTime) msg;
ByteBuf encoded = ctx.alloc().buffer(4);
encoded.writeInt((int)m.value());
ctx.write(encoded, promise); // (1)
}
}
-
There are quite a few important things in this single line.
First, we pass the original
ChannelPromise
as-is so that Netty marks it as success or failure when the encoded data is actually written out to the wire.Second, we did not call
ctx.flush()
. There is a separate handler methodvoid flush(ChannelHandlerContext ctx)
which is purposed to override theflush()
operation.
To simplify even further, you can make use of MessageToByteEncoder
:
public class TimeEncoder extends MessageToByteEncoder<UnixTime> {
@Override
protected void encode(ChannelHandlerContext ctx, UnixTime msg, ByteBuf out) {
out.writeInt((int)msg.value());
}
}
The last task left is to insert a TimeEncoder
into the ChannelPipeline
on the server side before the TimeServerHandler
, and it is left as a trivial exercise.
Shutting down a Netty application is usually as simple as shutting down all EventLoopGroup
s you created via shutdownGracefully()
. It returns a Future
that notifies you when the EventLoopGroup
has been terminated completely and all Channel
s that belong to the group have been closed.
In this chapter, we had a quick tour of Netty with a demonstration on how to write a fully working network application on top of Netty.
There is more detailed information about Netty in the upcoming chapters. We also encourage you to review the Netty examples in the io.netty.example
package.
Please also note that the community is always waiting for your questions and ideas to help you and keep improving Netty and its documentation based on your feedback.