编写自己的handler简单操作redis

　　RESP是Redis Serialization Protocol的简称,也就是专门为redis设计的一套序列化协议。这个协议比较简单，简单的说就是发送请求的时候按Redis 约定的数据格式进行发送，解析数据的时候按redis规定的响应数据格式进行相应。

　　无论是jedis还是lettuce， 最终发给redis的数据与接收到redis的响应数据的格式必须满足redis的协议要求。

1. RedisClient 类

package cn.xm.netty.example.redis3;

import io.netty.bootstrap.Bootstrap;
import io.netty.channel.*;
import io.netty.channel.nio.NioEventLoopGroup;
import io.netty.channel.socket.SocketChannel;
import io.netty.channel.socket.nio.NioSocketChannel;
import io.netty.util.concurrent.GenericFutureListener;

import java.io.BufferedReader;
import java.io.InputStreamReader;

public class RedisClient {

    private static final String HOST = System.getProperty("host", "192.168.145.139");
    private static final int PORT = Integer.parseInt(System.getProperty("port", "6379"));

    public static void main(String[] args) throws Exception {
        EventLoopGroup group = new NioEventLoopGroup();
        try {
            Bootstrap b = new Bootstrap();
            b.group(group)
                    .channel(NioSocketChannel.class)
                    .handler(new ChannelInitializer<SocketChannel>() {
                        @Override
                        protected void initChannel(SocketChannel ch) throws Exception {
                            ChannelPipeline p = ch.pipeline();
                            p.addLast(new RedisClientHandler());
                        }
                    });

            // Start the connection attempt.
            Channel ch = b.connect(HOST, PORT).sync().channel();

            // Read commands from the stdin.
            System.out.println("Enter Redis commands (quit to end)");
            ChannelFuture lastWriteFuture = null;
            BufferedReader in = new BufferedReader(new InputStreamReader(System.in));
            for (; ; ) {
                final String input = in.readLine();
                final String line = input != null ? input.trim() : null;
                if (line == null || "quit".equalsIgnoreCase(line)) { // EOF or "quit"
                    ch.close().sync();
                    break;
                } else if (line.isEmpty()) { // skip `enter` or `enter` with spaces.
                    continue;
                }
                // Sends the received line to the server.
                lastWriteFuture = ch.writeAndFlush(line);
                lastWriteFuture.addListener(new GenericFutureListener<ChannelFuture>() {
                    @Override
                    public void operationComplete(ChannelFuture future) throws Exception {
                        if (!future.isSuccess()) {
                            System.err.print("write failed: ");
                            future.cause().printStackTrace(System.err);
                        }
                    }
                });
            }

            // Wait until all messages are flushed before closing the channel.
            if (lastWriteFuture != null) {
                lastWriteFuture.sync();
            }
        } finally {
            group.shutdownGracefully();
        }
    }
}

　　这个类比较简单就是一直for 循环等待控制台输入数据。并且添加的handler 只有一个handler。 也就是输入输出都是一个handler。

2.  RedisClientHandler

package cn.xm.netty.example.redis3;

import io.netty.buffer.ByteBuf;
import io.netty.buffer.Unpooled;
import io.netty.channel.ChannelDuplexHandler;
import io.netty.channel.ChannelHandlerContext;
import io.netty.channel.ChannelPromise;
import io.netty.util.CharsetUtil;
import org.apache.commons.lang3.StringUtils;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;

/**
 * An example Redis client handler. This handler read input from STDIN and write output to STDOUT.
 */
public class RedisClientHandler extends ChannelDuplexHandler {

    @Override
    public void write(ChannelHandlerContext ctx, Object msg, ChannelPromise promise) {
        // 转换发出去的数据格式
        msg = rehandleRequest(msg);
        ctx.writeAndFlush(Unpooled.copiedBuffer(msg.toString(), CharsetUtil.UTF_8));
    }

    /**
     * 重新处理消息，处理为 RESP 认可的数据
     * set foo bar
     * 对应下面数据
     * *3
$3
SET
$3
foo
$3
bar

     */
    private String rehandleRequest(Object msg) {
        String result = msg.toString().trim();
        String[] params = result.split(" ");
        List<String> allParam = new ArrayList<>();
        Arrays.stream(params).forEach(s -> {
            allParam.add("$" + s.length() + "
" + s + "
"); // 参数前$length
, 参数后增加 

        });
        allParam.add(0, "*" + allParam.size() + "
");
        StringBuilder stringBuilder = new StringBuilder();
        allParam.forEach(p -> {
            stringBuilder.append(p);
        });
        return stringBuilder.toString();
    }

    @Override
    public void channelRead(ChannelHandlerContext ctx, Object msg) {
        ByteBuf byteBuf = (ByteBuf) msg;
        byte[] bytes = new byte[byteBuf.readableBytes()];
        byteBuf.readBytes(bytes);
        String result = new String(bytes);
        // 转换接受到的数据格式
        result = rehandleResponse(result).toString();
        System.out.println(result);
    }

    /**
     * 重新处理响应消息
     */
    private Object rehandleResponse(String result) {
        // 状态恢复 - “+OK
”
        if (result.startsWith("+")) {
            return result.substring(1, result.length() - 2);
        }

        // 错误回复（error reply）的第一个字节是 "-"。例如 `flushallE` 返回的 `-ERR unknown command 'flushallE'
`
        if (result.startsWith("-")) {
            return result.substring(1, result.length() - 2);
        }

        // 整数回复（integer reply）的第一个字节是 ":"。 例如 `llen mylist` 查看list 大小返回的 `:3
`
        if (result.startsWith(":")) {
            return result.substring(1, result.length() - 2);
        }

        // 批量回复（bulk reply）的第一个字节是 "$", 例如:  `get foo` 返回的结果为 `$3
bar
`
        if (result.startsWith("$")) {
            result = StringUtils.substringAfter(result, "
");
            return StringUtils.substringBeforeLast(result, "
");
        }

        // 多条批量回复（multi bulk reply）的第一个字节是 "*"， 例如: *2
$3
foo
$4
name

        if (result.startsWith("*")) {
            result = StringUtils.substringAfter(result, "
");
            String[] split = result.split("\$\d
");
            List<String> collect = Arrays.stream(split).filter(tmpStr -> StringUtils.isNotBlank(tmpStr)).collect(Collectors.toList());
            List<String> resultList = new ArrayList<>(collect.size());
            collect.forEach(str1 -> {
                resultList.add(StringUtils.substringBeforeLast(str1, "
"));
            });
            return resultList;
        }

        return "unknow result";
    }

    @Override
    public void exceptionCaught(ChannelHandlerContext ctx, Throwable cause) {
        System.err.print("exceptionCaught: ");
        cause.printStackTrace(System.err);
        ctx.close();
    }

}

　　这个handler 继承 ChannelDuplexHandler 复用处理器，也就是既可以作为入站处理读取数据，也可以作为出站处理输出数据。输出和输入的时候都是根据redis 的协议标准进行了一下消息的转换。

3. 测试

1. 用strace 启动redis， 监测调用指令

[root@localhost redistest]# strace -ff -o out ../redis-5.0.4/src/redis-server ../redis-5.0.4/redis.conf

2. 命令行测试结果如下

3. 从out文件查看redis 接收的命令：

[root@localhost redistest]# grep mytest ./*
./out.8384:read(8, "*3
$3
set
$9
mytestkey
$11
"..., 16384) = 46
./out.8384:read(8, "*3
$3
ttl
$9
mytestkey
$7
"..., 16384) = 41
./out.8384:read(8, "*3
$6
expire
$9
mytestkey
$"..., 16384) = 43
./out.8384:read(8, "*2
$3
ttl
$9
mytestkey
", 16384) = 28
./out.8384:read(8, "*2
$4
type
$9
mytestkey
", 16384) = 29

注意： redis 接收到的数据必须以 结尾，否则redis 不会进行响应。