标签：send factory ISE 不能 tun 配置文件 tin tab pcl
在写代码之前我们先要想清楚几个问题。
首先我们需要实现底层的通信的服务端和客户端，可以有一下几种实现：
基于 Socket 的客户端和服务端（同步阻塞式，不推荐），大家可以当作一个编程练习，整个和系统没有进行整合，纯粹练习使用。
基于 Socket 的服务端。
启动一个阻塞式的 socket server，加入一个线程池实现伪异步。
public class SocketServer {
private static SocketServer INSTANCE = new SocketServer();
private SocketServer(){};
public static SocketServer getInstance() {
return INSTANCE;
}
//没有核心线程数量控制的线程池，最大线程数是 Integer 的最大值,多线程实现伪异步
ExecutorService executorService = Executors.newCachedThreadPool();
/**
* 发布服务,bio 模型
* @param service
* @param port
*/
public void publiser(int port){
try (ServerSocket serverSocket = new ServerSocket(port);)
{
while (true){
Socket socket = serverSocket.accept();//接收请求
executorService.execute(new SocketHandler(socket));
}
} catch (IOException e) {
e.printStackTrace();
}
}
}
对应的 hanlder，使用反射调用对应的服务，并通过 sokcet 写回结果。
public class SocketHandler implements Runnable{
private Socket socket;
public SocketHandler(Socket socket) {
this.socket = socket;
}
@Override
public void run() {
try (ObjectInputStream inputStream = new ObjectInputStream(socket.getInputStream());
ObjectOutputStream outputStream = new ObjectOutputStream(socket.getOutputStream());)
{
Object o = inputStream.readObject(); //readObject 是 java 反序列化的过程
System.out.println(o);
Object result = invoke((RpcRequest) o);
//写回结果
outputStream.writeObject(result);
outputStream.flush();
} catch (IOException e) {
e.printStackTrace();
} catch (ClassNotFoundException e) {
e.printStackTrace();
}
}
private Object invoke(RpcRequest invocation){
//根据方法名和参数类型在 service 里获取方法
try {
String interFaceName = invocation.getInterfaceName();
Class impClass = Class.forName(invocation.getImpl());
Method method = impClass.getMethod(invocation.getMethodName(),invocation.getParamTypes());
String result = (String)method.invoke(impClass.newInstance(),invocation.getParams());
return result;
} catch (NoSuchMethodException e) {
e.printStackTrace();
} catch (IllegalAccessException e) {
e.printStackTrace();
} catch (InvocationTargetException e) {
e.printStackTrace();
} catch (InstantiationException e) {
e.printStackTrace();
} catch (ClassNotFoundException e) {
e.printStackTrace();
}
return null;
}
}在看客户端，拼装参数，发送给 socket 服务端。
public class SocketClient {
private static SocketClient INSTANCE = new SocketClient();
private SocketClient(){};
public static SocketClient getInstance() {
return INSTANCE;
}
private Socket newSocket(String host, Integer port) {
System.out.println("创建一个新的 socket 连接");
try {
Socket socket = new Socket(host, port);
return socket;
} catch (IOException e) {
System.out.println("建立连接失败");
e.printStackTrace();
}
return null;
}
public Object sendRequest(String host, Integer port,RpcRequest rpcRequest) {
Socket socket = newSocket(host,port);
try (
ObjectOutputStream outputStream = new ObjectOutputStream(socket.getOutputStream());
ObjectInputStream inputStream = new ObjectInputStream(socket.getInputStream());)
{
outputStream.writeObject(rpcRequest);
outputStream.flush();
Object result = inputStream.readObject();
inputStream.close();
outputStream.close();
return result;
} catch (Exception e) {
e.printStackTrace();
}
return null;
}
}基于 Http 请求的客户端和基于 Tomcat 的服务端。
基于 Tomcat 的服务端，单例模式，只有一个启动服务的 start 方法，监听到的请求通过 DispatcherServlet 处理。
public class HttpServer {
private static HttpServer INSTANCE = new HttpServer();
private HttpServer(){}
public static HttpServer getInstance(){
return INSTANCE;
}
/**
*
* servlet 容器，tomcat
* @param hostname
* @param port
*/
public void start(String hostname,Integer port){
Tomcat tomcat = new Tomcat();
Server server = tomcat.getServer();
Service service = server.findService("Tomcat");
Connector connector = new Connector();
connector.setPort(port);
Engine engine = new StandardEngine();
engine.setDefaultHost(hostname);
Host host = new StandardHost();
host.setName(hostname);
String contextPath = "";
Context context = new StandardContext();
context.setPath(contextPath);
context.addLifecycleListener(new Tomcat.FixContextListener()); //声明周期监听器
host.addChild(context);
engine.addChild(host);
service.setContainer(engine);
service.addConnector(connector);
tomcat.addServlet(contextPath,"dispatcher", new DispatcherServlet());
context.addServletMappingDecoded("/*","dispatcher");
try {
tomcat.start();
tomcat.getServer().await();
} catch (LifecycleException e) {
e.printStackTrace();
}
}
}
下面来看请求分发器 DispatcherServlet 的实现，将请求派发给 HttpServletHandler 实现。
/**
* tomcat 是 servlet 容器，写一个 servlet
*
*/
public class DispatcherServlet extends HttpServlet {
@Override
protected void service(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException {
new HttpServletHandler().handler(req,resp);
}
}HttpServletHandler 的实现其实就是解析 request，通过反射调用最后返回结果。
public class HttpServletHandler{
public void handler(HttpServletRequest req, HttpServletResponse resp) {
try(InputStream inputStream = req.getInputStream();
OutputStream outputStream =resp.getOutputStream();){
ObjectInputStream ois = new ObjectInputStream(inputStream);
RpcRequest invocation = (RpcRequest) ois.readObject();
// 从注册中心根据接口，找接口的实现类
String interFaceName = invocation.getInterfaceName();
Class impClass = Class.forName(invocation.getImpl());
Method method = impClass.getMethod(invocation.getMethodName(),invocation.getParamTypes());
Object result = method.invoke(impClass.newInstance(),invocation.getParams());
RpcResponse rpcResponse = new RpcResponse();
rpcResponse.setResponseId(invocation.getRequestId());
rpcResponse.setData(result);
IOUtils.write(toByteArray(rpcResponse),outputStream);
}catch (IOException e){
e.printStackTrace();
} catch (ClassNotFoundException e) {
e.printStackTrace();
} catch (NoSuchMethodException e) {
e.printStackTrace();
} catch (IllegalAccessException e) {
e.printStackTrace();
} catch (InvocationTargetException e) {
e.printStackTrace();
} catch (InstantiationException e) {
e.printStackTrace();
}
}
public byte[] toByteArray (Object obj) {
byte[] bytes = null;
ByteArrayOutputStream bos = new ByteArrayOutputStream();
try {
ObjectOutputStream oos = new ObjectOutputStream(bos);
oos.writeObject(obj);
oos.flush();
bytes = bos.toByteArray ();
oos.close();
bos.close();
} catch (IOException ex) {
ex.printStackTrace();
}
return bytes;
}
}最后来看客户端的实现，通过 post 方法发送数据，最后解析服务端返回的结果。
public class HttpClient {
private static HttpClient INSTANCE = new HttpClient();
private HttpClient(){}
public static HttpClient getInstance(){
return INSTANCE;
}
public Object post(String hostname, Integer port, RpcRequest invocation){
try{
URL url = new URL("http",hostname,port,"/");
HttpURLConnection httpURLConnection = (HttpURLConnection) url.openConnection();
httpURLConnection.setRequestMethod("POST");
httpURLConnection.setDoOutput(true);
OutputStream outputStream = httpURLConnection.getOutputStream();
ObjectOutputStream oos = new ObjectOutputStream(outputStream);
oos.writeObject(invocation);
oos.flush();
oos.close();
InputStream inputStream = httpURLConnection.getInputStream();
RpcResponse rpcResponse = (RpcResponse)toObject(IOUtils.toByteArray(inputStream));
return rpcResponse.getData();
} catch (MalformedURLException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
return null;
}
public Object toObject (byte[] bytes) {
Object obj = null;
try {
ByteArrayInputStream bis = new ByteArrayInputStream(bytes);
ObjectInputStream ois = new ObjectInputStream (bis);
obj = ois.readObject();
ois.close();
bis.close();
} catch (IOException ex) {
ex.printStackTrace();
} catch (ClassNotFoundException ex) {
ex.printStackTrace();
}
return obj;
}
}
Netty 模型的客户端和服务端。
基于 Netty 的服务端，里面的编码器和解码器是我们自己实现的，大家可以先用我注释掉的那部分，等我们写到编码解码器的时候再替换。
public class NettyServer {
private static NettyServer INSTANCE = new NettyServer();
private static Executor executor = Executors.newCachedThreadPool();
private final static int MESSAGE_LENGTH = 4;
private NettyServer(){};
public static NettyServer getInstance(){
return INSTANCE;
}
private SerializeType serializeType = SerializeType.queryByType(Configuration.getInstance().getSerialize());
public static void submit(Runnable t){
executor.execute(t);
}
public void start(String host, Integer port){
EventLoopGroup bossGroup = new NioEventLoopGroup(1);
EventLoopGroup workerGroup = new NioEventLoopGroup();
try{
final ServerBootstrap bootstrap = new ServerBootstrap();
bootstrap.group(bossGroup,workerGroup)
.channel(NioServerSocketChannel.class)
.option(ChannelOption.SO_BACKLOG, 128)
.childOption(ChannelOption.SO_KEEPALIVE, true)
.childHandler(new ChannelInitializer<SocketChannel>(){
@Override
protected void initChannel(SocketChannel arg0) throws Exception {
ChannelPipeline pipeline = arg0.pipeline();
//ObjectDecoder的基类半包解码器LengthFieldBasedFrameDecoder的报文格式保持兼容。因为底层的父类LengthFieldBasedFrameDecoder
//的初始化参数即为super(maxObjectSize, 0, 4, 0, 4);
// pipeline.addLast(new LengthFieldBasedFrameDecoder(Integer.MAX_VALUE, 0, NettyServer.MESSAGE_LENGTH, 0, NettyServer.MESSAGE_LENGTH));
//利用LengthFieldPrepender回填补充ObjectDecoder消息报文头
// pipeline.addLast(new LengthFieldPrepender(NettyServer.MESSAGE_LENGTH));
// pipeline.addLast(new ObjectEncoder());
//考虑到并发性能，采用weakCachingConcurrentResolver缓存策略。一般情况使用:cacheDisabled即可
// pipeline.addLast(new ObjectDecoder(Integer.MAX_VALUE, ClassResolvers.weakCachingConcurrentResolver(this.getClass().getClassLoader())));
//注册解码器NettyDecoderHandler
pipeline.addLast(new NettyDecoderHandler(RpcRequest.class, serializeType));
//注册编码器NettyEncoderHandler
pipeline.addLast(new NettyEncoderHandler(serializeType));
pipeline.addLast("handler", new NettyServerHandler());
}
});
Channel channel = bootstrap.bind(host, port).sync().channel();
System.out.println("Server start listen at " + port);
}catch(Exception e){
bossGroup.shutdownGracefully();
workerGroup.shutdownGracefully();
}
}
}服务端对应的 handler，netty 都是这种 handler 模式，handler 里面也是将这个接收的 request 放入线程池中处理。
public class NettyServerHandler extends SimpleChannelInboundHandler<RpcRequest> {
private ChannelHandlerContext context;
@Override
protected void channelRead0(ChannelHandlerContext ctx, RpcRequest rpcRequest) throws Exception {
System.out.println("server channelRead...");
System.out.println(ctx.channel().remoteAddress() + "->server:" + rpcRequest.toString());
InvokeTask it = new InvokeTask(rpcRequest,ctx);
NettyServer.submit(it);
}
@Override
public void handlerAdded(ChannelHandlerContext ctx) throws Exception{
this.context = ctx;
}
}给出 InvokeTask 的对应实现。
public class InvokeTask implements Runnable{
private RpcRequest invocation;
private ChannelHandlerContext ctx;
public InvokeTask(RpcRequest invocation,ChannelHandlerContext ctx) {
super();
this.invocation = invocation;
this.ctx = ctx;
}
@Override
public void run() {
// 从注册中心根据接口，找接口的实现类
String interFaceName = invocation.getInterfaceName();
Class impClass = null;
try {
impClass = Class.forName(invocation.getImpl());
} catch (ClassNotFoundException e) {
e.printStackTrace();
}
Method method;
Object result = null;
try {
method = impClass.getMethod(invocation.getMethodName(),invocation.getParamTypes());
//这块考虑实现类，是不是应该在 spring 里面拿
result = method.invoke(impClass.newInstance(),invocation.getParams());
} catch (Exception e) {
e.printStackTrace();
}
RpcResponse rpcResponse = new RpcResponse();
rpcResponse.setResponseId(invocation.getRequestId());
rpcResponse.setData(result);
ctx.writeAndFlush(rpcResponse).addListener(new ChannelFutureListener() {
public void operationComplete(ChannelFuture channelFuture) throws Exception {
System.out.println("RPC Server Send message-id respone:" + invocation.getRequestId());
}
});
}
}再来看客户端，客户端有两种实现，一种是不能复用 handler（可以立即为 connection）的模式，这种模式并发不太高，另一种是能够复用 handler 的 handlerPool 模式。
不能复用的模式。
public class NettyClient {
private static NettyClient INSTANCE = new NettyClient();
private final static int parallel = Runtime.getRuntime().availableProcessors() * 2;
private NettyClient(){};
public static NettyClient getInstance(){
return INSTANCE;
}
private SerializeType serializeType = SerializeType.queryByType(Configuration.getInstance().getSerialize());
public void start(String host,Integer port){
Bootstrap bootstrap = new Bootstrap();
EventLoopGroup group = new NioEventLoopGroup(parallel);
try{
bootstrap.group(group)
.channel(NioSocketChannel.class)
.handler(new ChannelInitializer<SocketChannel>(){
@Override
protected void initChannel(SocketChannel arg0) throws Exception {
ChannelPipeline pipeline = arg0.pipeline();
//ObjectDecoder的基类半包解码器LengthFieldBasedFrameDecoder的报文格式保持兼容。因为底层的父类LengthFieldBasedFrameDecoder
//的初始化参数即为super(maxObjectSize, 0, 4, 0, 4);
// pipeline.addLast(new LengthFieldBasedFrameDecoder(Integer.MAX_VALUE, 0, 4, 0, 4));
//利用LengthFieldPrepender回填补充ObjectDecoder消息报文头
// pipeline.addLast(new LengthFieldPrepender(4));
// pipeline.addLast(new ObjectEncoder());
//考虑到并发性能，采用weakCachingConcurrentResolver缓存策略。一般情况使用:cacheDisabled即可
// pipeline.addLast(new ObjectDecoder(Integer.MAX_VALUE, ClassResolvers.weakCachingConcurrentResolver(this.getClass().getClassLoader())));
//注册Netty编码器
System.out.println("11111111:"+serializeType.getSerializeType());
pipeline.addLast(new NettyEncoderHandler(serializeType));
//注册Netty解码器
pipeline.addLast(new NettyDecoderHandler(RpcResponse.class, serializeType));
pipeline.addLast("handler", new NettyClientHandler());
}
});
ChannelFuture future = bootstrap.connect(host,port).sync();
}catch(Exception e){
group.shutdownGracefully();
}
}
}在看可复用的模式，固定 handler 数量，目前框架中使用的是可复用模式，上面的不可复用的没用上，为了给大家理解，没有删除。
public class NettyChannelPoolFactory {
//初始化Netty Channel阻塞队列的长度,该值为可配置信息
private static final int channelConnectSize = 10;
//Key为服务提供者地址,value为Netty Channel阻塞队列
private static final Map<URL, ArrayBlockingQueue<Channel>> channelPoolMap = new ConcurrentHashMap<>();
private static NettyChannelPoolFactory INSTANCE = new NettyChannelPoolFactory();
private NettyChannelPoolFactory(){};
public static NettyChannelPoolFactory getInstance(){
return INSTANCE;
}
private List<ServiceProvider> serviceMetaDataList = new ArrayList<>();
//根据配置文件里面需要调用的接口信息来初始化 channel
public void initNettyChannelPoolFactory(Map<String, List<ServiceProvider>> providerMap){
//将服务提供者信息存入serviceMetaDataList列表
Collection<List<ServiceProvider>> collectionServiceMetaDataList = providerMap.values();
for (List<ServiceProvider> serviceMetaDataModels : collectionServiceMetaDataList) {
if (CollectionUtils.isEmpty(serviceMetaDataModels)) {
continue;
}
serviceMetaDataList.addAll(serviceMetaDataModels);
}
//获取服务提供者地址列表
Set<URL> set = new HashSet<>();
for (ServiceProvider serviceMetaData : serviceMetaDataList) {
String serviceIp = serviceMetaData.getIp();
int servicePort = serviceMetaData.getPort();
URL url = new URL(serviceIp,servicePort);
set.add(url);
}
for(URL url:set){
//为每个 ip端口 建立多个 channel，并且放入阻塞队列中
int channelSize = 0;
while(channelSize < channelConnectSize){
Channel channel = null;
while(channel == null){
channel = registerChannel(url);
}
channelSize ++;
ArrayBlockingQueue<Channel> queue = channelPoolMap.get(url);
if(queue == null){
queue = new ArrayBlockingQueue<Channel>(channelConnectSize);
channelPoolMap.put(url, queue);
}
queue.offer(channel);
}
}
}
public Channel registerChannel(URL url) {
final SerializeType serializeType = SerializeType.queryByType(Configuration.getInstance().getSerialize());
Bootstrap bootstrap = new Bootstrap();
EventLoopGroup group = new NioEventLoopGroup(10);
try{
bootstrap.group(group)
.channel(NioSocketChannel.class)
.handler(new ChannelInitializer<SocketChannel>(){
@Override
protected void initChannel(SocketChannel arg0) throws Exception {
ChannelPipeline pipeline = arg0.pipeline();
//ObjectDecoder的基类半包解码器LengthFieldBasedFrameDecoder的报文格式保持兼容。因为底层的父类LengthFieldBasedFrameDecoder
//的初始化参数即为super(maxObjectSize, 0, 4, 0, 4);
// pipeline.addLast(new LengthFieldBasedFrameDecoder(Integer.MAX_VALUE, 0, 4, 0, 4));
//利用LengthFieldPrepender回填补充ObjectDecoder消息报文头
// pipeline.addLast(new LengthFieldPrepender(4));
// pipeline.addLast(new ObjectEncoder());
//考虑到并发性能，采用weakCachingConcurrentResolver缓存策略。一般情况使用:cacheDisabled即可
// pipeline.addLast(new ObjectDecoder(Integer.MAX_VALUE, ClassResolvers.weakCachingConcurrentResolver(this.getClass().getClassLoader())));
pipeline.addLast(new NettyEncoderHandler(serializeType));
//注册Netty解码器
pipeline.addLast(new NettyDecoderHandler(RpcResponse.class, serializeType));
pipeline.addLast("handler", new NettyClientHandler());
}
});
ChannelFuture future = bootstrap.connect(url.getHost(),url.getPort()).sync();
Channel channel = future.channel();
//等待Netty服务端链路建立通知信号
final CountDownLatch connectedLatch = new CountDownLatch(1);
final List<Boolean> isSuccess = new ArrayList<>(1);
future.addListener(new ChannelFutureListener(){
@Override
public void operationComplete(ChannelFuture future)
throws Exception {
if(future.isSuccess()){
isSuccess.add(true);
}else{
isSuccess.add(false);
}
connectedLatch.countDown();
}
});
connectedLatch.await();
if(isSuccess.get(0)){
return channel;
}
}catch(Exception e){
group.shutdownGracefully();
e.printStackTrace();
}
return null;
}
//根据 url 获取阻塞队列
public ArrayBlockingQueue<Channel> acqiure(URL url){
System.out.println(channelPoolMap.toString());
return channelPoolMap.get(url);
}
//channel 使用完毕后进行回收
public void release(ArrayBlockingQueue<Channel> queue, Channel channel, URL url){
if(queue == null){
return;
}
//需要检查 channel 是否可用，如果不可用，重新注册一个放入阻塞队列中
if(channel == null || !channel.isActive() || !channel.isOpen()|| !channel.isWritable()){
if (channel != null) {
channel.deregister().syncUninterruptibly().awaitUninterruptibly();
channel.closeFuture().syncUninterruptibly().awaitUninterruptibly();
}
Channel c = null;
while(c == null){
c = registerChannel(url);
}
queue.offer(c);
return;
}
queue.offer(channel);
}
}给出对应的 handler 实现，在 channelread0 里面读取 server 端返回的信息，因为 netty 是异步的，所以需要 MessageCallBack 来实现我们的同步调用。
public class NettyClientHandler extends SimpleChannelInboundHandler<RpcResponse> {
private ChannelHandlerContext context;
@Override
public void exceptionCaught(ChannelHandlerContext ctx, Throwable cause)
throws Exception {
cause.printStackTrace();
ctx.close();
}
@Override
public void channelInactive(ChannelHandlerContext ctx) throws Exception {
System.out.println("停止时间是："+new Date());
System.out.println("HeartBeatClientHandler channelInactive");
}
@Override
public void channelActive(ChannelHandlerContext ctx) throws Exception {
this.context = ctx;
System.out.println("激活时间是："+ctx.channel().id());
}
@Override
protected void channelRead0(ChannelHandlerContext channelHandlerContext, RpcResponse rpcResponse) throws Exception {
// String res = (String)msg;
//RpcResponse rpcResponse = (RpcResponse)msg;
String responseId = rpcResponse.getResponseId();
MessageCallBack callBack = ResponseHolder.getInstance().mapCallBack.get(responseId);
if(callBack != null){
ResponseHolder.getInstance().mapCallBack.remove(responseId);
callBack.over(rpcResponse);
}
}
}MessageCallBack 的实现。
public class MessageCallBack {
private RpcRequest rpcRequest;
private RpcResponse rpcResponse;
private Lock lock = new ReentrantLock();
private Condition finish = lock.newCondition();
public MessageCallBack(RpcRequest request) {
this.rpcRequest = request;
}
public Object start() throws InterruptedException {
try {
lock.lock();
//设定一下超时时间，rpc服务器太久没有相应的话，就默认返回空吧。
finish.await(10*1000, TimeUnit.MILLISECONDS);
if (this.rpcResponse != null) {
return this.rpcResponse.getData();
} else {
return null;
}
} finally {
lock.unlock();
}
}
public void over(RpcResponse reponse) {
try {
lock.lock();
this.rpcResponse = reponse;
finish.signal();
} finally {
lock.unlock();
}
}
}既然是可插拔式框架，那么底层协议一定要是可选择的，所以我们定义一个顶层接口来支持我们选择协议。
start 方法是启动服务端，send 方法是客户端发送数据。
public interface Procotol {
void start(URL url);
Object send(URL url, RpcRequest invocation);
}对应的三个协议的接口实现。
Netty 的实现
public class DubboProcotol implements Procotol {
@Override
public void start(URL url) {
NettyServer nettyServer = NettyServer.getInstance();
nettyServer.start(url.getHost(),url.getPort());
}
@Override
public Object send(URL url, RpcRequest invocation) {
ArrayBlockingQueue<Channel> queue = NettyChannelPoolFactory.getInstance().acqiure(url);
Channel channel = null;
try {
channel = queue.poll(invocation.getTimeout(), TimeUnit.MILLISECONDS);
if(channel == null || !channel.isActive() || !channel.isOpen()|| !channel.isWritable()){
channel = queue.poll(invocation.getTimeout(), TimeUnit.MILLISECONDS);
if(channel == null){
channel = NettyChannelPoolFactory.getInstance().registerChannel(url);
}
}
//将本次调用的信息写入Netty通道,发起异步调用
ChannelFuture channelFuture = channel.writeAndFlush(invocation);
channelFuture.syncUninterruptibly();
MessageCallBack callback = new MessageCallBack(invocation);
ResponseHolder.getInstance().mapCallBack.put(invocation.getRequestId(), callback);
try {
return callback.start();
} catch (InterruptedException e) {
e.printStackTrace();
}
return null;
} catch (InterruptedException e1) {
e1.printStackTrace();
}finally{
System.out.println("release:"+channel.id());
NettyChannelPoolFactory.getInstance().release(queue, channel, url);
}
return null;
}
}http 的实现
public class HttpProcotol implements Procotol {
@Override
public void start(URL url) {
HttpServer httpServer = HttpServer.getInstance();
httpServer.start(url.getHost(),url.getPort());
}
@Override
public Object send(URL url, RpcRequest invocation) {
HttpClient httpClient = HttpClient.getInstance();
return httpClient.post(url.getHost(),url.getPort(),invocation);
}
}Socket 的实现
public class SocketProcotol implements Procotol {
@Override
public void start(URL url) {
SocketServer socketServer = SocketServer.getInstance();
socketServer.publiser(url.getPort());
}
@Override
public Object send(URL url, RpcRequest invocation) {
SocketClient socketClient = SocketClient.getInstance();
return socketClient.sendRequest(url.getHost(),url.getPort(),invocation);
}
}这样一个可选择协议的模型就实现了，我们可已通过这个模块选择协议，并且与服务端通信。
带你手写基于 Spring 的可插拔式 RPC 框架（三）通信协议模块
标签：send factory ISE 不能 tun 配置文件 tin tab pcl
原文地址：https://www.cnblogs.com/paulwang92115/p/11116942.html
