基于Netty和SpringBoot实现一个轻量级RPC框架-Client端请求响应同步化处理

前提

前置文章：

• 《基于Netty和SpringBoot实现一个轻量级RPC框架-协议篇》
• 《基于Netty和SpringBoot实现一个轻量级RPC框架-Server篇》
• 《基于Netty和SpringBoot实现一个轻量级RPC框架-Client篇》

前一篇文章简单介绍了通过动态代理完成了Client端契约接口调用转换为发送RPC协议请求的功能。这篇文章主要解决一个遗留的技术难题：请求-响应同步化处理。

需要的依赖如下：

• JDK1.8+
• Netty:4.1.44.Final
• SpringBoot:2.2.2.RELEASE

简单分析Netty请求-响应的处理流程

图中已经忽略了编码解码器和其他入站出站处理器，不同颜色的线程代表完全不相同的线程，不同线程之间的处理逻辑是完全异步，也就是Netty IO线程（n-l-g-1）接收到Server端的消息并且解析完成的时候，用户调用线程（u-t-1）无法感知到解析完毕的消息包，那么这里要做的事情就是让用户调用线程（u-t-1）获取到Netty IO线程（n-l-g-1）接收并且解析完成的消息包。

这里可以用一个简单的例子来说明模拟Client端调用线程等待Netty IO线程的处理结果再同步返回的过程。

@Slf4j
public class NettyThreadSyncTest {

    @ToString
    private static class ResponseFuture {

        private final long beginTimestamp = System.currentTimeMillis();
        @Getter
        private final long timeoutMilliseconds;
        @Getter
        private final String requestId;
        @Setter
        @Getter
        private volatile boolean sendRequestSucceed = false;
        @Setter
        @Getter
        private volatile Throwable cause;
        @Getter
        private volatile Object response;

        private final CountDownLatch latch = new CountDownLatch(1);

        public ResponseFuture(String requestId, long timeoutMilliseconds) {
            this.requestId = requestId;
            this.timeoutMilliseconds = timeoutMilliseconds;
        }

        public boolean timeout() {
            return System.currentTimeMillis() - beginTimestamp > timeoutMilliseconds;
        }

        public Object waitResponse(final long timeoutMilliseconds) throws InterruptedException {
            latch.await(timeoutMilliseconds, TimeUnit.MILLISECONDS);
            return response;
        }

        public void putResponse(Object response) throws InterruptedException {
            this.response = response;
            latch.countDown();
        }
    }

    static ExecutorService REQUEST_THREAD;
    static ExecutorService NETTY_IO_THREAD;
    static Callable<Object> REQUEST_TASK;
    static Runnable RESPONSE_TASK;

    static String processBusiness(String name) {
        return String.format("%s say hello!", name);
    }

    private static final Map<String /* request id */, ResponseFuture> RESPONSE_FUTURE_TABLE = Maps.newConcurrentMap();

    @BeforeClass
    public static void beforeClass() throws Exception {
        String requestId = UUID.randomUUID().toString();
        String requestContent = "throwable";
        REQUEST_TASK = () -> {
            try {
                // 3秒没有得到响应认为超时
                ResponseFuture responseFuture = new ResponseFuture(requestId, 3000);
                RESPONSE_FUTURE_TABLE.put(requestId, responseFuture);
                // 这里忽略发送请求的操作,只打印日志和模拟耗时1秒
                Thread.sleep(1000);
                log.info("发送请求成功,请求ID:{},请求内容:{}", requestId, requestContent);
                // 更新标记属性
                responseFuture.setSendRequestSucceed(true);
                // 剩余2秒等待时间 - 这里只是粗略计算
                return responseFuture.waitResponse(3000 - 1000);
            } catch (Exception e) {
                log.info("发送请求失败,请求ID:{},请求内容:{}", requestId, requestContent);
                throw new RuntimeException(e);
            }
        };
        RESPONSE_TASK = () -> {
            String responseContent = processBusiness(requestContent);
            try {
                ResponseFuture responseFuture = RESPONSE_FUTURE_TABLE.get(requestId);
                if (null != responseFuture) {
                    log.warn("处理响应成功,请求ID:{},响应内容:{}", requestId, responseContent);
                    responseFuture.putResponse(responseContent);
                } else {
                    log.warn("请求ID[{}]对应的ResponseFuture不存在,忽略处理", requestId);
                }
            } catch (Exception e) {
                log.info("处理响应失败,请求ID:{},响应内容:{}", requestId, responseContent);
                throw new RuntimeException(e);
            }
        };
        REQUEST_THREAD = Executors.newSingleThreadExecutor(runnable -> {
            Thread thread = new Thread(runnable, "REQUEST_THREAD");
            thread.setDaemon(true);
            return thread;
        });
        NETTY_IO_THREAD = Executors.newSingleThreadExecutor(runnable -> {
            Thread thread = new Thread(runnable, "NETTY_IO_THREAD");
            thread.setDaemon(true);
            return thread;
        });
    }

    @Test
    public void testProcessSync() throws Exception {
        log.info("异步提交请求处理任务......");
        Future<Object> future = REQUEST_THREAD.submit(REQUEST_TASK);
        // 模拟请求耗时
        Thread.sleep(1500);
        log.info("异步提交响应处理任务......");
        NETTY_IO_THREAD.execute(RESPONSE_TASK);
        // 这里可以设置超时
        log.info("同步获取请求结果:{}", future.get());
        Thread.sleep(Long.MAX_VALUE);
    }
}

执行testProcessSync()方法，控制台输出如下：

2020-01-18 13:17:07 [main] INFO  c.t.client.NettyThreadSyncTest - 异步提交请求处理任务......
2020-01-18 13:17:08 [REQUEST_THREAD] INFO  c.t.client.NettyThreadSyncTest - 发送请求成功,请求ID:71f47e27-c17c-458d-b271-4e74fad33a7b,请求内容:throwable
2020-01-18 13:17:09 [main] INFO  c.t.client.NettyThreadSyncTest - 异步提交响应处理任务......
2020-01-18 13:17:09 [NETTY_IO_THREAD] WARN  c.t.client.NettyThreadSyncTest - 处理响应成功,请求ID:71f47e27-c17c-458d-b271-4e74fad33a7b,响应内容:throwable say hello!
2020-01-18 13:17:09 [main] INFO  c.t.client.NettyThreadSyncTest - 同步获取请求结果:throwable say hello!

上面这个例子里面的线程同步处理主要参考主流的Netty框架客户端部分的实现逻辑：RocketMQ（具体是NettyRemotingClient类）以及Redisson（具体是RedisExecutor类），它们就是用这种方式使得异步线程处理转化为同步处理。

Client端请求响应同步化处理

按照前面的例子，首先新增一个ResponseFuture用于承载已发送但未响应的请求：

@ToString
public class ResponseFuture {

    private final long beginTimestamp = System.currentTimeMillis();
    @Getter
    private final long timeoutMilliseconds;
    @Getter
    private final String requestId;
    @Setter
    @Getter
    private volatile boolean sendRequestSucceed = false;
    @Setter
    @Getter
    private volatile Throwable cause;
    @Getter
    private volatile ResponseMessagePacket response;

    private final CountDownLatch latch = new CountDownLatch(1);

    public ResponseFuture(String requestId, long timeoutMilliseconds) {
        this.requestId = requestId;
        this.timeoutMilliseconds = timeoutMilliseconds;
    }

    public boolean timeout() {
        return System.currentTimeMillis() - beginTimestamp > timeoutMilliseconds;
    }

    public ResponseMessagePacket waitResponse(final long timeoutMilliseconds) throws InterruptedException {
        latch.await(timeoutMilliseconds, TimeUnit.MILLISECONDS);
        return response;
    }

    public void putResponse(ResponseMessagePacket response) throws InterruptedException {
        this.response = response;
        latch.countDown();
    }
}

接着需要新增一个HashMap去缓存这些返送成功但是未得到响应处理的ResponseFuture：

Map<String /* request id */, ResponseFuture> RESPONSE_FUTURE_TABLE = Maps.newConcurrentMap();

这里的KEY选用requestId，而requestId之前已经定义为UUID，确保每个请求不会重复。为了简单起见，目前所有的逻辑都编写在契约代理工厂ContractProxyFactory，添加下面的功能：

• 添加一个同步发送方法sendRequestSync()处理消息包的发送和同步响应，RequestMessagePacket转换为调用代理目标方法返回值类型的逻辑暂时也编写在此方法中。
• 添加一个核心线程数量为逻辑核心数量 * 2的线程池用于处理请求。
• 添加一个单线程的调度线程池用于定时清理那些过期的ResponseFuture，清理方法为scanResponseFutureTable()。

修改后的ContractProxyFactory如下：

@Slf4j
public class ContractProxyFactory {

    private static final RequestArgumentExtractor EXTRACTOR = new DefaultRequestArgumentExtractor();
    private static final ConcurrentMap<Class<?>, Object> CACHE = Maps.newConcurrentMap();
    static final ConcurrentMap<String /* request id */, ResponseFuture> RESPONSE_FUTURE_TABLE = Maps.newConcurrentMap();
    // 定义请求的最大超时时间为3秒
    private static final long REQUEST_TIMEOUT_MS = 3000;
    private static final ExecutorService EXECUTOR;
    private static final ScheduledExecutorService CLIENT_HOUSE_KEEPER;
    private static final Serializer SERIALIZER = FastJsonSerializer.X;


    @SuppressWarnings("unchecked")
    public static <T> T ofProxy(Class<T> interfaceKlass) {
        // 缓存契约接口的代理类实例
        return (T) CACHE.computeIfAbsent(interfaceKlass, x ->
                Proxy.newProxyInstance(interfaceKlass.getClassLoader(), new Class[]{interfaceKlass}, (target, method, args) -> {
                    RequestArgumentExtractInput input = new RequestArgumentExtractInput();
                    input.setInterfaceKlass(interfaceKlass);
                    input.setMethod(method);
                    RequestArgumentExtractOutput output = EXTRACTOR.extract(input);
                    // 封装请求参数
                    RequestMessagePacket packet = new RequestMessagePacket();
                    packet.setMagicNumber(ProtocolConstant.MAGIC_NUMBER);
                    packet.setVersion(ProtocolConstant.VERSION);
                    packet.setSerialNumber(SerialNumberUtils.X.generateSerialNumber());
                    packet.setMessageType(MessageType.REQUEST);
                    packet.setInterfaceName(output.getInterfaceName());
                    packet.setMethodName(output.getMethodName());
                    packet.setMethodArgumentSignatures(output.getMethodArgumentSignatures().toArray(new String[0]));
                    packet.setMethodArguments(args);
                    Channel channel = ClientChannelHolder.CHANNEL_REFERENCE.get();
                    return sendRequestSync(channel, packet, method.getReturnType());
                }));
    }

    /**
     * 同步发送请求
     *
     * @param channel channel
     * @param packet  packet
     * @return Object
     */
    static Object sendRequestSync(Channel channel, RequestMessagePacket packet, Class<?> returnType) {
        long beginTimestamp = System.currentTimeMillis();
        ResponseFuture responseFuture = new ResponseFuture(packet.getSerialNumber(), REQUEST_TIMEOUT_MS);
        RESPONSE_FUTURE_TABLE.put(packet.getSerialNumber(), responseFuture);
        try {
            // 获取到承载响应Packet的Future
            Future<ResponseMessagePacket> packetFuture = EXECUTOR.submit(() -> {
                channel.writeAndFlush(packet).addListener((ChannelFutureListener)
                        future -> responseFuture.setSendRequestSucceed(true));
                return responseFuture.waitResponse(REQUEST_TIMEOUT_MS - (System.currentTimeMillis() - beginTimestamp));
            });
            ResponseMessagePacket responsePacket = packetFuture.get(
                    REQUEST_TIMEOUT_MS - (System.currentTimeMillis() - beginTimestamp), TimeUnit.MILLISECONDS);
            if (null == responsePacket) {
                // 超时导致响应包获取失败
                throw new SendRequestException(String.format("ResponseMessagePacket获取超时,请求ID:%s", packet.getSerialNumber()));
            } else {
                ByteBuf payload = (ByteBuf) responsePacket.getPayload();
                byte[] bytes = ByteBufferUtils.X.readBytes(payload);
                return SERIALIZER.decode(bytes, returnType);
            }
        } catch (Exception e) {
            log.error("同步发送请求异常,请求包:{}", JSON.toJSONString(packet), e);
            if (e instanceof RuntimeException) {
                throw (RuntimeException) e;
            } else {
                throw new SendRequestException(e);
            }
        }
    }

    static void scanResponseFutureTable() {
        log.info("开始执行ResponseFutureTable清理任务......");
        Iterator<Map.Entry<String, ResponseFuture>> iterator = RESPONSE_FUTURE_TABLE.entrySet().iterator();
        while (iterator.hasNext()) {
            Map.Entry<String, ResponseFuture> entry = iterator.next();
            ResponseFuture responseFuture = entry.getValue();
            if (responseFuture.timeout()) {
                iterator.remove();
                log.warn("移除过期的请求ResponseFuture,请求ID:{}", entry.getKey());
            }
        }
        log.info("执行ResponseFutureTable清理任务结束......");
    }

    static {
        int n = Runtime.getRuntime().availableProcessors();
        EXECUTOR = new ThreadPoolExecutor(n * 2, n * 2, 0, TimeUnit.SECONDS,
                new ArrayBlockingQueue<>(50), runnable -> {
            Thread thread = new Thread(runnable);
            thread.setDaemon(true);
            thread.setName("CLIENT_REQUEST_EXECUTOR");
            return thread;
        });
        CLIENT_HOUSE_KEEPER = new ScheduledThreadPoolExecutor(1, runnable -> {
            Thread thread = new Thread(runnable);
            thread.setDaemon(true);
            thread.setName("CLIENT_HOUSE_KEEPER");
            return thread;
        });
        CLIENT_HOUSE_KEEPER.scheduleWithFixedDelay(ContractProxyFactory::scanResponseFutureTable, 5, 5, TimeUnit.SECONDS);
    }
}

接着添加一个客户端入站处理器，用于通过reuqestId匹配目标ResponseFuture实例，同时设置ResponseFuture实例中的response属性为响应包，同时释放闭锁：

@Slf4j
public class ClientHandler extends SimpleChannelInboundHandler<ResponseMessagePacket> {

    @Override
    protected void channelRead0(ChannelHandlerContext ctx, ResponseMessagePacket packet) throws Exception {
        log.info("接收到响应包,内容:{}", JSON.toJSONString(packet));
        ResponseFuture responseFuture = ContractProxyFactory.RESPONSE_FUTURE_TABLE.get(packet.getSerialNumber());
        if (null != responseFuture) {
            responseFuture.putResponse(packet);
        } else {
            log.warn("接收响应包查询ResponseFuture不存在,请求ID:{}", packet.getSerialNumber());
        }
    }
}

最后，客户端启动类ClientApplication中添加ClientHandler到Netty的处理器流水线中即可：

bootstrap.handler(new ChannelInitializer<SocketChannel>() {

    @Override
    protected void initChannel(SocketChannel ch) throws Exception {
        ch.pipeline().addLast(new LengthFieldBasedFrameDecoder(1024, 0, 4, 0, 4));
        ch.pipeline().addLast(new LengthFieldPrepender(4));
        ch.pipeline().addLast(new LoggingHandler(LogLevel.DEBUG));
        ch.pipeline().addLast(new RequestMessagePacketEncoder(FastJsonSerializer.X));
        ch.pipeline().addLast(new ResponseMessagePacketDecoder());
        ch.pipeline().addLast(new ClientHandler());
    }
});

先运行之前- 《基于Netty和SpringBoot实现一个轻量级RPC框架-Server篇》中编写好的ServerApplication，再启动ClientApplication，日志输出如下：

// 服务端
2020-01-18 14:32:59 [nioEventLoopGroup-3-2] INFO  club.throwable.server.ServerHandler - 服务端接收到:RequestMessagePacket(interfaceName=club.throwable.contract.HelloService, methodName=sayHello, methodArgumentSignatures=[java.lang.String], methodArguments=[PooledUnsafeDirectByteBuf(ridx: 0, widx: 11, cap: 11/144)])
2020-01-18 14:32:59 [nioEventLoopGroup-3-2] INFO  club.throwable.server.ServerHandler - 查找目标实现方法成功,目标类:club.throwable.server.contract.DefaultHelloService,宿主类:club.throwable.server.contract.DefaultHelloService,宿主方法:sayHello
2020-01-18 14:32:59 [nioEventLoopGroup-3-2] INFO  club.throwable.server.ServerHandler - 服务端输出:{"attachments":{},"errorCode":200,"magicNumber":10086,"message":"Success","messageType":"RESPONSE","payload":""throwable say hello!"","serialNumber":"21d131d26fc74f91b4691e0207826b90","version":1}

// 客户端
2020-01-18 14:32:59 [nioEventLoopGroup-2-1] INFO  club.throwable.client.ClientHandler - 接收到响应包,内容:{"attachments":{},"errorCode":200,"magicNumber":10086,"message":"Success","messageType":"RESPONSE","payload":{"contiguous":true,"direct":true,"readOnly":false,"readable":true,"writable":false},"serialNumber":"21d131d26fc74f91b4691e0207826b90","version":1}
2020-01-18 14:32:59 [main] INFO  c.throwable.client.ClientApplication - HelloService[throwable]调用结果:"throwable say hello!"
2020-01-18 14:33:04 [CLIENT_HOUSE_KEEPER] INFO  c.t.client.ContractProxyFactory - 开始执行ResponseFutureTable清理任务......
2020-01-18 14:33:04 [CLIENT_HOUSE_KEEPER] WARN  c.t.client.ContractProxyFactory - 移除过期的请求ResponseFuture,请求ID:21d131d26fc74f91b4691e0207826b90

可见异步线程模型已经被改造为同步化，现在可以通过契约接口通过RPC同步调用服务端。

小结

Client端的请求-响应同步化处理基本改造完毕，到此为止，一个RPC框架大致已经完成，接下来会对Client端和Server端进行一些改造，让契约相关组件托管到IOC容器，实现契约接口自动注入等等功能。

Demo项目地址：

• ch0-custom-rpc-protocol

（本文完e-a-20200118 c-2-d）

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