redis 缓存jwt令牌设置更新时间 BUG修复

大家好，今天我又又又来了，hhhhh。

上文中我们永redis缓存了token 但是我们发现了一个bug ，redis中缓存的token 是单用户才能实现的。

就是我 redis中存储的键名为token 值是jwt令牌，但是如果用户a 登录之后创建一个键为token的键值对，如果用户b登录，创建的的键名也是 token ，这样用户b的 jwt 会覆盖用户a的，就会导致用户a 的token 会失效呀，这真是一个大大的bug ，按照我目前的水平，我想到了一下的解决方案，既然 token 的键会覆盖，那么我们给 token的键加上一个唯一标识不就好了

解决前的代码

package com.example.getway.globalfilter;import cn.hutool.core.collection.CollUtil;
import com.example.getway.Untils.JwtUntils;
import com.example.getway.commen.MessageConstant;
import com.example.getway.pojo.JwtProperties;
import io.jsonwebtoken.Claims;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cloud.gateway.filter.GatewayFilterChain;
import org.springframework.cloud.gateway.filter.GlobalFilter;
import org.springframework.core.Ordered;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.http.server.RequestPath;
import org.springframework.http.server.reactive.ServerHttpRequest;
import org.springframework.http.server.reactive.ServerHttpResponse;
import org.springframework.stereotype.Component;
import org.springframework.web.server.ServerWebExchange;
import reactor.core.publisher.Mono;import javax.annotation.Resource;
import java.util.List;
import java.util.concurrent.TimeUnit;
@RequiredArgsConstructor
@Slf4j
@Component
public class TokenGlobalFilter implements GlobalFilter, Ordered {private  final JwtProperties jwtProperties;private  final   RedisTemplate redisTemplate;// 这个过滤器 请求的转发@Overridepublic Mono<Void> filter(ServerWebExchange exchange, GatewayFilterChain chain) {//我们只要是非登录请求全都要检验jwt 然后进行 用户信息的传递//获取request对象ServerHttpRequest request = exchange.getRequest();RequestPath requestPath = request.getPath();if(requestPath.toString().contains("/userLogin")){return  chain.filter(exchange);}//获取请求头的 token
//        String redisToken =null;
//        List<String> authorization = request.getHeaders().get("authorization");
//        if (!CollUtil.isEmpty(authorization)) {
//            redisToken = authorization.get(0);
//        }String redisToken = (String)redisTemplate.opsForValue().get(MessageConstant.TOKEN);log.info("token:{}",redisToken);if (redisToken != null ) {//进行jwt的解析try {Claims claims = JwtUntils.parseJwt(redisToken, jwtProperties.getSecretkey());//每次 访问其他资源的时候 都把token更新redisTemplate.expire(MessageConstant.TOKEN, 1000, TimeUnit.DAYS);String loginId = claims.get(MessageConstant.LOGIN_ID).toString();log.info("网关层当前用户的id:{}", Long.valueOf(loginId));//证明 token有效 传递用户信息ServerWebExchange loginId1 = exchange.mutate().request(b -> b.header("loginId", loginId)).build();return chain.filter(loginId1);} catch (Exception e) {log.info("{}",e.getMessage());//出现异常返回一个异常响应ServerHttpResponse response = exchange.getResponse();response.setRawStatusCode(401);return  response.setComplete();}}log.info("token错误");return  exchange.getResponse().setComplete();}
//过滤器链中的优先级 数值越低 优先级就越高@Overridepublic int getOrder() {return 0;}
}

解决前的登陆代码

package com.example.logindemo.cotroller;import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.collection.CollectionUtil;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.example.logindemo.Untils.JwtUntils;
import com.example.logindemo.commen.MessageConstant;
import com.example.logindemo.pojo.JwtProperties;
import com.example.logindemo.pojo.po.UserLogin;
import com.example.logindemo.result.Result;
import com.example.logindemo.service.UserLoginService;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.annotations.Param;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.util.DigestUtils;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;import java.time.Duration;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.TimeUnit;@RestController
@Slf4j
@RequiredArgsConstructor
public class LoginController {private  final UserLoginService userLoginService;private final JwtProperties jwtProperties;private  final RedisTemplate redisTemplate;@PostMapping("/userLogin")public Result userLogin( String username,  String password) {password=DigestUtils.md5DigestAsHex(password.getBytes());LambdaQueryWrapper<UserLogin> userLoginLambdaQueryWrapper = new LambdaQueryWrapper<UserLogin>().eq(UserLogin::getUsername, username);UserLogin userLogin = userLoginService.getOne(userLoginLambdaQueryWrapper);if(userLogin==null && userLogin.getUsername().isEmpty()){return Result.error("查询不到用户");}if (username.equals(userLogin.getUsername()) && password.equals(userLogin.getPassword())) {//需要一个map集合  传什么 解析出来什么   一般传的是登录用户的id  我们传1HashMap<String, Object> map = new HashMap<>();map.put(MessageConstant.LOGIN_ID, userLogin.getId());String token = JwtUntils.CreateJwt(map, jwtProperties.getSecretkey());//设置redis缓存为1000天redisTemplate.opsForValue().set(MessageConstant.TOKEN,token,1000,TimeUnit.DAYS);return Result.success(token);}return Result.error("未知错误");}}

解决后的登录代码这里只放修改部分