Redis stores user token
When designing a system similar to e-commerce, a common requirement is that each page needs to carry logged-in user information.
There are two common solutions:
Use cookies to save
Use JWT to save
But if Redis cache is used in the system, then there is a third solution - cache the user token in Redis.
Generate a token when logging in and store it in Redis
//生成一个token对象,保存在redis中 redisTemplate.opsForHash().put("token","user",user);
When each page is generated, provide the token
//以JSON字符串形式返回token @RequestMapping(value = "/getToken",method = RequestMethod.GET) @ResponseBody public User getToken(){ User user = (User) redisTemplate.opsForHash().get("token", "user"); return user; }
//发送ajax请求,获取token function get_token(){ $.ajax({ url:"getToken", type:"GET", dataType:"JSON", success:function(result){ //将返回的用户信息保存在token中 var token = result; //打印登录用户 console.log(token); //打印登录用户的id console.log(token.id); document.getElementById('username').innerText = "用户名:"+token.username; } }); }
Delete the token when logging out
//注销 @RequestMapping("/logout") public String logout(){ redisTemplate.opsForHash().delete("token","user"); return "/login"; }
Redis Dealing with token issues
java—Handling tokens based on redis
First of all, make it clear that token: token is a way of processing user information for front-end and back-end interaction after logging in. There are two main types Methods, one is based on session storage, and the other is based on redis storage. This article only discusses user information processing based on redis.
For every information interaction after a user logs in, if user information needs to be passed, especially user IDs and the like, it is obviously unwise to query the database every time. We can Create a space in redis to save user information, and then we will use it from redis every time we need user information.
First create RedisUtil
@Component public class RedisUtil { @Autowired private RedisTemplate redisTemplate; //key-value是对象的 //判断是否存在key public boolean hasKey(String key) { return redisTemplate.hasKey(key); } //从redis中获取值 public Object get(String key) { return redisTemplate.opsForValue().get(key); } //向redis插入值 public boolean set(final String key, Object value) { boolean result = false; try { redisTemplate.opsForValue().set(key, value); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } //向redis插入值带过期时间 单位:分钟 public boolean set(final String key, Object value, long time) { boolean result = false; try { redisTemplate.opsForValue().set(key, value, time, TimeUnit.MINUTES); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } //redis删除值 public boolean del(final String key) { return redisTemplate.delete(key); } //批量删除某个字段开始的key public long batchDel(String key) { Set<String> set = redisTemplate.keys(key + "*"); return redisTemplate.delete(set); } }
After creating RedisUtil, we need to store the value in redis. At this time, we need to pay attention to the fact that our key needs to be discussed with the front-end in advance, which field name to use, and the current-end When requesting, the key must be passed in the header. The value is encrypted and returned to the front end after the first login. After we get the header information, we need to decrypt the value first and use the value as the key to get the user information.
@Component public class UserUtil { @Autowired private RedisUtil redisUtil; @Autowired private HttpServletRequest request; /** * 后台管理的登录id * * @return */ public JsonResult getUser() { String header = request.getHeader("#与前端约定的统一字段#"); //解密 String decrypt = DESUtil.decrypt(header); if (!redisUtil.hasKey(decrypt))return JsonResult.error("未登录"); User user = null; try { user = (User) redisUtil.get(decrypt); } catch (Exception e) { e.printStackTrace(); } if (decrypt == null) return JsonResult.error("权限不足"); return JsonResult.success(user); } }
When we need it
JsonResult jsonResult = userUtil.getUser(); if (jsonResult.getCode() != 1) return jsonResult; //强转成对象。此处不用担心强转失败,因为存入的时候就是对象存储,只不过为了复用,存的是object类型 User user= (User) jsonResult.getData(); return JsonResult.success(#service层#); }
The above is the detailed content of How to solve the problem of storing user tokens in Redis. For more information, please follow other related articles on the PHP Chinese website!

The core function of Redis is a high-performance in-memory data storage and processing system. 1) High-speed data access: Redis stores data in memory and provides microsecond-level read and write speed. 2) Rich data structure: supports strings, lists, collections, etc., and adapts to a variety of application scenarios. 3) Persistence: Persist data to disk through RDB and AOF. 4) Publish subscription: Can be used in message queues or real-time communication systems.

Redis supports a variety of data structures, including: 1. String, suitable for storing single-value data; 2. List, suitable for queues and stacks; 3. Set, used for storing non-duplicate data; 4. Ordered Set, suitable for ranking lists and priority queues; 5. Hash table, suitable for storing object or structured data.

Redis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.

Use the Redis command line tool (redis-cli) to manage and operate Redis through the following steps: Connect to the server, specify the address and port. Send commands to the server using the command name and parameters. Use the HELP command to view help information for a specific command. Use the QUIT command to exit the command line tool.

Redis cluster mode deploys Redis instances to multiple servers through sharding, improving scalability and availability. The construction steps are as follows: Create odd Redis instances with different ports; Create 3 sentinel instances, monitor Redis instances and failover; configure sentinel configuration files, add monitoring Redis instance information and failover settings; configure Redis instance configuration files, enable cluster mode and specify the cluster information file path; create nodes.conf file, containing information of each Redis instance; start the cluster, execute the create command to create a cluster and specify the number of replicas; log in to the cluster to execute the CLUSTER INFO command to verify the cluster status; make

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.

Use of zset in Redis cluster: zset is an ordered collection that associates elements with scores. Sharding strategy: a. Hash sharding: Distribute the hash value according to the zset key. b. Range sharding: divide into ranges according to element scores, and assign each range to different nodes. Read and write operations: a. Read operations: If the zset key belongs to the shard of the current node, it will be processed locally; otherwise, it will be routed to the corresponding shard. b. Write operation: Always routed to shards holding the zset key.

How to clear Redis data: Use the FLUSHALL command to clear all key values. Use the FLUSHDB command to clear the key value of the currently selected database. Use SELECT to switch databases, and then use FLUSHDB to clear multiple databases. Use the DEL command to delete a specific key. Use the redis-cli tool to clear the data.


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