用Java写一个分布式缓存——RESP服务端

前言

本篇我们将完成一个RESP的socket的服务端，初步完成一个单机版缓存。

另外在其中我们还需要完成命令的动态路由

源码：https://github.com/weloe/Java-Distributed-Cache

本篇代码：

https://github.com/weloe/Java-Distributed-Cache/tree/master/src/main/java/com/weloe/cache/server

上篇：缓存管理 https://www.cnblogs.com/weloe/p/17068891.html

RESP协议

RESP协议支持5种数据类型：字符串，异常，整数，多行字符串，数组

数据类型由第一个字节进行区分，不同部分使用\r\n来分开

简单字符串一般用来返回该操作无误，操作成功，例如返回+ok\r\n

异常： -error msg\r\n

整数：: 1\r\n

多行字符串：

$4\r\n
test

这里的4是实际数据的长度

实际信息为 test

数组：

*2\r\n
$2\r\n
ab\r\n
$3\r\n
cde\r\n

信息为字符串数组[ab][cde]

实现

https://github.com/weloe/Java-Distributed-Cache/blob/master/src/main/java/com/weloe/cache/util/RESPUtil.java

根据协议我们就能编写出对请求信息的解析类了，我们把它抽象为一个工具类

对返回内容解析的代码

	/**
     * 读取RESP协议的字节，转为String
     *
     * @return String
     */
    public static String parseRESPBytes(InputStream inputStream) {
        byte[] bytes;
        String result = null;
        try {
            while (inputStream.available() == 0) {
            }
            bytes = new byte[inputStream.available()];
            inputStream.read(bytes);
            result = new String(bytes);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }
    /**
     * 解析RESP协议的String
     *
     * @param raw
     * @return
     */
    public static Object parseRESPString(String raw) {
        byte type = raw.getBytes()[0];
        String result = raw.substring(1);
        switch (type) {
            case '+':
                // +ok\r\n
                // 读单行
                return result.replace("\r\n", "");
            case '-':
                // 异常
                // -Error msg\r\n
                throw new RuntimeException(result.replace("\r\n", ""));
            case ':':
                // 数字
                return result.replace("\r\n", "");
            case '$':
                return result.split("\r\n")[1];
            case '*':
                // 多行字符串
                String[] strList = result.substring(result.indexOf("$")).split("\r\n");
                System.out.print("多条批量请求：");
                List<String> list = new LinkedList<>();
                for (int i = 1; i < strList.length; i += 2) {
                    System.out.print(strList[i] + " ");
                    list.add(strList[i]);
                }
                System.out.println();
                return list;
            default:
                throw new RuntimeException("错误的数据格式");
        }
    }

发送请求的代码

    /**
     * 发送RESP请求
     * @param host
     * @param port
     * @param args
     * @return
     * @throws IOException
     */
    public static byte[] sendRequest(String host,Integer port, String ... args) throws IOException {
        Socket socket = new Socket(host,port);
        RESPRequest request = new RESPRequest(socket);
        PrintWriter writer = new PrintWriter(new OutputStreamWriter(socket.getOutputStream(), StandardCharsets.UTF_8));
        sendRequest(writer,args);
        byte[] param = request.getBytes();
        request.close();
        writer.close();
        socket.close();
        return param;
    }
    /**
     * 发送RESP请求
     * @param writer
     * @param args
     * @throws IOException
     */
    public static void sendRequest(PrintWriter writer, String ... args) throws IOException {
        writer.println("*"+args.length);
        for (String arg : args) {
            writer.println("$"+arg.getBytes(StandardCharsets.UTF_8).length);
            writer.println(arg);
        }
        writer.flush();
    }

命令的解析

通过RESP协议的实现，我们就能做到对我们的缓存发送命令，那么我们又该怎么对命令进行解析，然后做出对应的操作呢？

这里我们使用前缀树结构来进行动态路由

Node

https://github.com/weloe/Java-Distributed-Cache/blob/master/src/main/java/com/weloe/cache/server/parser/Node.java

首先要构建树的节点

需要注意的是只有叶子节点才有pattern

isWild来判断是否有通配符则是为了来匹配用户输入的参数，我们设置路由的时候用:作为通配符

例如设置路由set :group :k :v

命令为：set g1 k1 v1

把 :group和g1匹配，:k和k1匹配，:v和v1匹配

最后我们要解析出 group = g1 , k = k1, v = v1

/**
 * @author weloe
 */
public class Node {
    /**
     * 待匹配的命令参数，只有最后一层才有 例如 set :group :key :value
     */
    private String pattern;
    /**
     * 命令参数的一部分例如 set :group :key :value 中的 :group
     */
    private String part;
    /**
     * 子节点
     */
    private List<Node> children;
    /**
     * 是否是通配符节点
     */
    private boolean isWild;
    public Node() {
        this.children = new LinkedList<>();
        this.part = "";
        this.pattern = "";
    }
    public Node(String part, boolean isWild) {
        this.part = part;
        this.isWild = isWild;
        this.children = new LinkedList<>();
    }
}

注册节点的方法

	/**
     * 注册节点
     *
     * @param pattern
     * @param parts
     * @param height
     */
    public void insert(String pattern, String[] parts, int height) {
        // 终止条件,height匹配完，到了最下层
        if (parts.length == height) {
            this.pattern = pattern;
            return;
        }
        String part = parts[height];
        // 匹配出一个子节点
        Node child = matchChild(part);
        if (child == null) {
            // 如果当前part的第一个字符是":"或者"*"就为模糊匹配
            child = new Node(part, part.startsWith(":") || part.startsWith("*"));
            // 增加当前节点的子节点
            children.add(child);
        }
        child.insert(pattern, parts, height + 1);
    }

注册节点方法中调用的machChild()为 根据part部分匹配子节点的方法

	/**
     * 根据part匹配子节点
     *
     * @param part
     * @return 第一个匹配节点
     */
    public Node matchChild(String part) {
        for (Node child : children) {
            if (child.part.equals(part) || child.isWild) {
                return child;
            }
        }
        return null;
    }

根据字符串数组(输入命令)来递归匹配出对应叶子节点的方法

	/**
     * 根据parts[]匹配出节点
     * @param parts
     * @param height
     * @return
     */
    public Node search(String[] parts, int height) {
        // 匹配到末端
        if(parts.length == height || part.startsWith("*")){
            if(pattern == null){
                return null;
            }
            // 匹配到节点
            return this;
        }
        String part = parts[height];
        // 根据part找到匹配的子节点
        List<Node> children = matchChildren(part);
        for (Node child : children) {
            Node node = child.search(parts, height + 1);
            if(node != null){
                return node;
            }
        }
        return null;
    }

search方法中调用的matchChildren为 根据part来匹配出所有符合的子节点的方法

    /**
     * 根据part匹配子节点
     * @param part
     * @return 所有匹配的节点
     */
    public List<Node> matchChildren(String part) {
        ArrayList<Node> nodes = new ArrayList<>();
        for (Node child : children) {
            if (child.part.equals(part) || child.isWild) {
                nodes.add(child);
            }
        }
        return nodes;
    }

Router

https://github.com/weloe/Java-Distributed-Cache/blob/master/src/main/java/com/weloe/cache/server/parser/Router.java

Router提供了添加路由和根据用户命令匹配路由的方法

这里的HandlerFunc是需要我们在添加路由addRoute时进行设置的命令对应的处理函数

这里的Router类是我们在getRoute时返回的，node就是匹配到的树的叶子节点，map为匹配到的通配符参数

例如设置路由set :group :k :v

命令为：set g1 k1 v1

把 :group和g1匹配，:k和k1匹配，:v和v1匹配

map即为 group = g1 , k = k1, v = v1

/**
 * @author weloe
 */
public class Router {
    @FunctionalInterface
    public interface HandlerFunc {
        Object handle(RESPContext context);
    }
    public class Route{
        private Node node;
        private Map<String,String> map;
        public Route(Node node, Map<String, String> map) {
            this.node = node;
            this.map = map;
        }
        public Object handle(RESPContext context){
            context.setParamMap(map);
            String key = "command"+"-"+node.getPattern();
            return handlers.get(key).handle(context);
        }
        public Map<String, String> getMap() {
            return map;
        }
        public Node getNode() {
            return node;
        }
    }
    /**
     * 根节点
     */
    private Map<String,Node> roots;
    private Map<String,HandlerFunc> handlers;
    public Router() {
        this.roots = new LinkedHashMap<>();
        this.handlers = new LinkedHashMap<>();
    }
    /**
     * 解析pattern
     * @param pattern
     * @return
     */
    public String[] parsePattern(String pattern){
        String[] patterns = pattern.split(" ");
        String[] parts = new String[patterns.length];
        for (int i = 0; i < patterns.length; i++) {
            parts[i] = patterns[i];
            if(patterns[i].charAt(0) == '*'){
                break;
            }
        }
        return parts;
    }
    public void addRoute(String method,String pattern,HandlerFunc handler){
        String[] parts = parsePattern(pattern);
        String key = method + "-" + pattern;
        Node node = roots.get(method);
        // 判断有没有该method对应的根节点，没有就建一个
        if (node == null) {
            roots.put(method,new Node());
        }
        roots.get(method).insert(pattern,parts,0);
        handlers.put(key,handler);
    }
    public Route getRoute(String path){
        return getRoute("command",path);
    }
    public Route getRoute(String method,String path){
        String[] patterns = parsePattern(path);
        Map<String, String> params = new LinkedHashMap<>();
        Node root = roots.get(method);
        if(root == null){
            return null;
        }
        Node res = root.search(patterns, 0);
        if (res == null) {
            return null;
        }
        String[] parts = parsePattern(res.getPattern());
        for (int i = 0; i < parts.length; i++) {
            String part = parts[i];
            if (part.charAt(0) == ':') {
                params.put(part.substring(1),patterns[i]);
            }
            if(part.charAt(0) == '*' && part.length() > 1){
                String collect = Arrays.stream(patterns).skip(i).collect(Collectors.joining(" "));
                params.put(part.substring(1),collect);
                break;
            }
        }
        return new Route(res,params);
    }
}

测试

这里相当于我们输入delete g1 k1 v1

匹配到命令为 delete

匹配到的参数为key:k1

@Test
    void getRoute() {
        Router router = new Router();
        router.addRoute("command","set :group :key :v",null);
        router.addRoute("command","delete :group :key :v",null);
        router.addRoute("command","expire :group :key :v",null);
        router.addRoute("command","get :group :key :v",null);
        router.addRoute("command","hget :key :field",null);
        router.addRoute("command","config set maxsize :size",null);
        router.addRoute("command","config set maxnum :num",null);
        router.addRoute("command","config set cachestrategy :strategy",null);
        Router.Route route = router.getRoute("command", "delete g1 k1 v1");
        Assertions.assertEquals(route.getNode().getPattern(),"delete :group :key :v");
        Assertions.assertEquals(route.getMap().get("key"),"k1");
    }

服务端

根据以上内容我们可以封装出RESPContext，RESPRqeuest，以及RESPReqspnse类

RESPContext

https://github.com/weloe/Java-Distributed-Cache/blob/master/src/main/java/com/weloe/cache/server/resp/RESPContext.java

作为一个服务端自然有上下文信息，我们将它封装为一个Context类

/**
 * @author weloe
 */
public class RESPContext {
    private LocalDateTime startTime;
    private Socket socket;
    private RESPRequest request;
    private RESPResponse response;
    private Router.Route route;
    private Map<String,String> paramMap;
    private Group group;
    public void initServer(Socket socket, RESPRequest request, RESPResponse response) throws IOException {
        this.socket = socket;
        this.request = request;
        this.response = response;
        this.startTime = LocalDateTime.now();
    }
    /**
     * 解析RESP协议的字节
     *
     * @return
     */
    public String parseRESPBytes() {
        String result = request.parseRESPBytes();
        return result;
    }
    /**
     * 解析RESP协议的String
     *
     * @param raw
     * @return
     */
    public Object parseRESPString(String raw) {
        Object obj = request.parseRESPString(raw);
        return obj;
    }
    public void ok() {
        response.ok();
    }
    public void ok(byte[] bytes){
        response.ok(String.valueOf(bytes));
    }
    public void ok(String arg) {
        response.ok(arg);
    }
    public void ok(String... args) {
        response.ok(args);
    }
    public void error(String msg) {
        response.error(msg);
    }
    public void close() {
        if (request != null) {
            try {
                request.close();
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
        if (response != null) {
            response.close();
        }
        if (socket != null) {
            try {
                socket.close();
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    }
    public Socket getSocket() {
        return socket;
    }
    public RESPRequest getRequest() {
        return request;
    }
    public RESPResponse getResponse() {
        return response;
    }
    public LocalDateTime getStartTime() {
        return startTime;
    }
    public void setStartTime(LocalDateTime startTime) {
        this.startTime = startTime;
    }
    public void setParamMap(Map<String, String> paramMap) {
        this.paramMap = paramMap;
    }
    public Map<String, String> getParamMap() {
        return paramMap;
    }
    public void setRoute(Router.Route route) {
        this.route = route;
    }
    public Router.Route getRoute() {
        return route;
    }
    public void setGroup(Group group) {
        this.group = group;
    }
    public Group getGroup() {
        return group;
    }
    public String getParam(String key){
        return paramMap.get(key);
    }
}

RESPRequest

https://github.com/weloe/Java-Distributed-Cache/blob/master/src/main/java/com/weloe/cache/server/resp/RESPRequest.java

/**
 * @author weloe
 */
public class RESPRequest {
    private InputStream inputStream;
    private Map<String,String> params;
    public RESPRequest(Socket socket) throws IOException {
        this.inputStream = socket.getInputStream();
    }
    public String getParam(String key) {
        return params.get(key);
    }
    /**
     * 解析RESP协议的字节
     *
     * @return
     */
    public byte[] getBytes() {
        byte[] bytes = null;
        try {
            while (inputStream.available() == 0) {
            }
            bytes = new byte[inputStream.available()];
            inputStream.read(bytes);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return bytes;
    }
    /**
     * 解析RESP协议的字节
     *
     * @return
     */
    public String parseRESPBytes() {
        byte[] bytes;
        byte[] buf = new byte[1];
        String result = null;
        try {
            System.out.println("等待数据传输");
//            try {
//                // 读不到阻塞
//                inputStream.read(buf);
//            } catch (IOException e) {
//                return null;
//            }
//            result = new String(buf) + new String(bytes);
            while (inputStream.available() == 0) {
            }
            bytes = new byte[inputStream.available()];
            inputStream.read(bytes);
            result = new String(bytes);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }
    /**
     * 解析RESP协议的String
     *
     * @param raw
     * @return
     */
    public Object parseRESPString(String raw) {
        byte type = raw.getBytes()[0];
        String result = raw.substring(1);
        switch (type) {
            case '+':
                // +ok\r\n
                // 读单行
                return result.replace("\r\n", "");
            case '-':
                // 异常
                // -Error msg\r\n
                throw new RuntimeException(result.replace("\r\n", ""));
            case ':':
                // 数字
                return result.replace("\r\n", "");
            case '$':
                return result.substring(1).replace("\r\n", "");
            case '*':
                // 多行字符串
                String[] strList = result.substring(result.indexOf("$")).split("\r\n");
                System.out.print("多条批量请求：");
                List<String> list = new LinkedList<>();
                for (int i = 1; i < strList.length; i += 2) {
                    System.out.print(strList[i] + " ");
                    list.add(strList[i]);
                }
                System.out.println();
                return list;
            default:
                throw new RuntimeException("错误的数据格式");
        }
    }
    public void close() throws IOException {
        if (inputStream != null) {
            inputStream.close();
        }
    }
    public InputStream getInputStream() {
        return inputStream;
    }
}

RESPResponse

https://github.com/weloe/Java-Distributed-Cache/blob/master/src/main/java/com/weloe/cache/server/resp/RESPResponse.java

/**
 * @author weloe
 */
public class RESPResponse {
    private PrintWriter writer;
    public RESPResponse(Socket socket) throws IOException {
        // 字符输出流，可以直接按行输出
        writer = new PrintWriter(new OutputStreamWriter(socket.getOutputStream(), StandardCharsets.UTF_8));
    }
    public void ok() {
        writer.println(RESPStatus.OK.getMsg());
        writer.flush();
    }
    public void ok(Integer arg) {
        writer.println(":" + arg);
        writer.flush();
    }
    public void ok(String arg) {
        writer.println("$" + arg.getBytes(StandardCharsets.UTF_8).length);
        writer.println(arg);
        writer.flush();
    }
    public void ok(String... args) {
        writer.println("*" + args.length);
        for (String arg : args) {
            writer.println("$" + arg.getBytes(StandardCharsets.UTF_8).length);
            writer.println(arg);
        }
        writer.flush();
    }
    public void error(String msg) {
        writer.println(RESPStatus.ERROR.getMsg() + " " + msg);
        writer.flush();
    }
    public void close() {
        if (writer != null) {
            writer.close();
        }
    }
    public PrintWriter getWriter() {
        return writer;
    }
}

Service

https://github.com/weloe/Java-Distributed-Cache/tree/master/src/main/java/com/weloe/cache/server/command

命令有对应的HandlerFunc函数，我们就需要在函数中调用我们的相应的service，因此需要抽象出对应的service

这里的service为对前篇缓存管理中的类的简单调用，就不再一一赘述

ConfigService

/**
 * config操作
 * @author weloe
 */
public class ConfigService {
    public Object getNormalSize(Group group){
        return group.getNormalSize();
    }
    public Object getMaxSize(Group group){
        return group.getMaxSize();
    }
    public Object setMaxSize(Group group,String size) {
        group.setMaxSize(Integer.parseInt(size));
        return "";
    }
    public Object setMaxNum(Group group,String num) {
        return null;
    }
}

DeleteService

/**
 * 删除key相关操作
 * @author weloe
 */
public class DeleteService {
    public Object delete(Group group,String key) {
        CacheObj delete = group.delete(key);
        if(delete == null){
            return null;
        }
        return "";
    }
    public Object clear(Group group) {
        group.clear();
        return "";
    }
}

ExpireService

/**
 * 设置,获取key的过期时间，单位秒
 * @author weloe
 */
public class ExpireService {
    public Object expire(Group group,String key,String value) {
        LocalDateTime time = group.expire(key, Long.parseLong(value), ChronoUnit.SECONDS);
        return time;
    }
    public Object ttl(Group group,String key) {
        long ttl = group.ttl(key);
        return ttl;
    }
}

GroupService

/**
 * group操作
 * @author weloe
 */
public class GroupService {
    private GroupManager groupManager = GroupManager.getInstance();
    public Object add(String groupName) {
        Group group = new Group();
        group.setName(groupName);
        group.setCache(new Cache());
        group.setGetter(k -> null);
        groupManager.put(group);
        return "";
    }
}

StringService

/**
 * 缓存set，get操作
 * @author weloe
 */
public class StringService {
    public String get(Group group,String key) {
        CacheObj cacheObj = group.get(key);
        if(cacheObj != null){
            return new String(cacheObj.getData());
        }
        return null;
    }
    public Object set(Group group,String key,String value) {
        group.putCacheObj(key, new CacheObj(value.getBytes(StandardCharsets.UTF_8)));
        return "";
    }
}

ServiceFactory

为了方便管理，另外写了管理service的类

public class ServiceFactory {
    Map<String,Object> map;
    public ServiceFactory() {
        map = new LinkedHashMap<>();
        map.put("str",new StringService());
        map.put("group",new GroupService());
        map.put("config",new ConfigService());
        map.put("delete",new DeleteService());
        map.put("expire",new ExpireService());
    }
    public<T> T getBean(String name){
        return (T) map.get(name);
    }
}

CommandQueue

https://github.com/weloe/Java-Distributed-Cache/blob/master/src/main/java/com/weloe/cache/server/parser/CommandQueue.java

这里我们使用多线程io解析命令，单线程执行命令的模型，多线程解析完命令得到Route后把Context加入到阻塞队列中，再消费阻塞队列的Context执行命令

public class CommandQueue {
    private static PriorityBlockingQueue<RESPContext> commandQueue = new PriorityBlockingQueue<>(5, (o1, o2) -> {
        if (o1.getStartTime().isBefore(o2.getStartTime())) {
            return -1;
        }
        return 1;
    });
    public boolean add(RESPContext context){
        return commandQueue.add(context);
    }
    public void consume() {
        new Thread(() -> {
            System.out.println("服务端等待接收命令...");
            while (true) {
                RESPContext respContext = null;
                try {
                    respContext = commandQueue.take();
                } catch (InterruptedException e) {
                    respContext.error(e.getMessage());
                    e.printStackTrace();
                    continue;
                }
                System.out.println("执行命令"+respContext.getRoute().getNode().getPattern());
                // 执行命令
                Object handle = respContext.getRoute().handle(respContext);
                System.out.println(handle);
                if(handle == null){
                    respContext.ok("nil");
                }else if(handle.equals("")){
                    respContext.ok();
                }else {
                    respContext.ok(handle.toString());
                }
            }
        }).start();
    }
    public PriorityBlockingQueue<RESPContext> getCommandQueue() {
        return commandQueue;
    }
}

Launch服务端启动类

https://github.com/weloe/Java-Distributed-Cache/blob/master/src/main/java/com/weloe/cache/Launch.java

public class Launch {
    private static final ExecutorService poolExecutor = new ThreadPoolExecutor(2, 5,
            30L, TimeUnit.SECONDS,
            new ArrayBlockingQueue(10));
    private static final GroupManager groupManager = GroupManager.getInstance();
    private static final ServiceFactory factory = new ServiceFactory();
    private static final Router router = new Router();
    static {
        // 注册路由信息
        ConfigService config = factory.getBean("config");
        StringService str = factory.getBean("str");
        DeleteService delete = factory.getBean("delete");
        ExpireService expire = factory.getBean("expire");
        GroupService groupService = factory.getBean("group");
        router.addRoute("group add :name", c -> groupService.add(c.getParam("name")));
        router.addRoute("config set maxByteSize :group :size", c -> config.setMaxSize(c.getGroup(),c.getParam("size")))
              .addRoute("config get maxByteSize :group", c -> config.getMaxSize(c.getGroup()))
              .addRoute("config get normalSize :group", c -> config.getNormalSize(c.getGroup()))
              .addRoute("config set maxNum :group :num", c -> config.setMaxNum(c.getGroup(),c.getParam("num")));
        router.addRoute("expire :group :k :n", c -> expire.expire(c.getGroup(),c.getParam("k"),c.getParam("n")))
              .addRoute("ttl :group :k", c -> expire.ttl(c.getGroup(),c.getParam("k")));
        router.addRoute("delete :group :k", c -> delete.delete(c.getGroup(),c.getParam("size")))
              .addRoute("clear :group", c -> delete.clear(c.getGroup()));
        router.addRoute("set :group :k :v", c -> str.set(c.getGroup(),c.getParam("k"),c.getParam("v")))
              .addRoute("get :group :k", c -> str.get(c.getGroup(),c.getParam("k")));
    }
    public static void main(String[] args) throws IOException {
        CommandQueue commandQueue = new CommandQueue();
        commandQueue.consume();
        ServerSocket serverSocket = new ServerSocket(8081);
        while (true) {
            // 初始化server
            Socket socket = serverSocket.accept();
            System.out.println(socket.getInetAddress() + ":" + socket.getPort() + "连接");
            poolExecutor.submit(() -> task(commandQueue, socket));
        }
    }
    private static void task(CommandQueue commandQueue, Socket socket) {
        RESPContext context = null;
        System.out.println("线程"+Thread.currentThread().getId()+" 执行");
        try {
            while (true) {
                context = new RESPContext();
                context.initServer(socket,new RESPRequest(socket),new RESPResponse(socket));
                Object requestData = null;
                try {
                    // 处理请求
                    String res = context.parseRESPBytes();
                    if(res == null){
                        return;
                    }
                    System.out.printf("%s => %s%n", "原始格式", res.replace("\r\n", "\\r\\n"));
                    requestData = context.parseRESPString(res);
                } catch (Exception e) {
                    System.out.println(e.getMessage());
                    context.error(e.getMessage());
                    continue;
                }
                List<String> commandStr = (List<String>) requestData;
                System.out.println("接收到" + socket.getInetAddress() + ":" + socket.getPort() +"的命令");
                // 解析命令
                Router.Route route = router.getRoute(String.join(" ",commandStr));
                if (route == null) {
                    context.ok("请检查你的命令参数");
                    continue;
                }
                Map<String, String> paramMap = route.getMap();
                String name = paramMap.get("group");
                if(name != null){
                    if(groupManager.getGroup(name) == null){
                        context.ok("该group不存在");
                        continue;
                    }
                    context.setGroup(groupManager.getGroup(name));
                }
                context.setRoute(route);
                // 命令加入阻塞队列
                commandQueue.add(context);
            }
        } catch (IOException e) {
            e.printStackTrace();
        } finally {
            context.close();
        }
    }
}

Client

https://github.com/weloe/Java-Distributed-Cache/blob/master/src/main/java/com/weloe/cache/client/Client.java

public class ClientLaunch {
    static Socket socket;
    static PrintWriter writer;
    static BufferedReader reader;
    static InputStream inputStream;
    static String host = "127.0.0.1";
    static int port = 8081;
    public static void main(String[] args) {
        try {
            // 建立连接
            socket = new Socket(host,port);
            // 获取输出输入流
            // 字符输出流，可以直接按行输出
            writer = new PrintWriter(new OutputStreamWriter(socket.getOutputStream(), StandardCharsets.UTF_8));
            inputStream = socket.getInputStream();
            while (true) {
                Scanner reader = new Scanner(System.in);
                if (reader.hasNextLine()) {
                    String s = reader.nextLine();
                    if("exit".equals(s)){
                        System.out.println("exit cli");
                        return;
                    }
                    if (!s.isEmpty()) {
                        Object obj;
                        // 操作命令
                        sendRequest(s.split(" "));
                        // 响应
                        obj = inputStreamHandleByteResponse();
                        System.out.println(obj);
                    }
                }
            }
        } catch (IOException e) {
            e.printStackTrace();
        } finally {
            // 释放连接
            try {
                if(reader != null) {
                    reader.close();
                }
            } catch (IOException e) {
                e.printStackTrace();
            }
            try {
                if(inputStream != null) {
                    inputStream.close();
                }
            } catch (IOException e) {
                e.printStackTrace();
            }
            try {
                if(writer != null) {
                    writer.close();
                }
            } catch (Exception e) {
                e.printStackTrace();
            }
            try {
                if(socket != null) {
                    socket.close();
                }
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    }
    private static void sendRequest(String ... args) {
        writer.println("*"+args.length);
        for (String arg : args) {
            writer.println("$"+arg.getBytes(StandardCharsets.UTF_8).length);
            writer.println(arg);
        }
        writer.flush();
    }
    public static Object inputStreamHandleByteResponse() {
        String result = RESPUtil.parseRESPBytes(inputStream);
        return RESPUtil.parseRESPString(result);
    }
}

测试

最后我们就可以启动Launch和Client来进行一下使用了

服务端启动

服务端等待接收命令...
/127.0.0.1:53779连接
线程13 执行
等待数据传输

客户端发送请求group add test

服务端返回

ok

服务端输出

原始格式 => *3\r\n$5\r\ngroup\r\n$3\r\nadd\r\n$4\r\ntest\r\n
多条批量请求：group add test 
接收到/127.0.0.1:53779的命令
执行命令group add :name

客户端设置缓存set test testKey testV

服务端返回

ok

服务端输出

原始格式 => *4\r\n$3\r\nset\r\n$4\r\ntest\r\n$7\r\ntestKey\r\n$5\r\ntestV\r\n
多条批量请求：set test testKey testV 
接收到/127.0.0.1:53779的命令
执行命令set :group :k :v

客户端get操作get test testKey

服务端返回

testV

至此，单机的缓存就基本完成~

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