循环遍历获取 redis key实现在用户在线,性能不高,尤其是用户数量多的情况容易导致其他的redis线程卡死.这边用 redis hash维护一个现在用户,只要简单的实现用户同步就可以了.提交了性能

This commit is contained in:
金威正
2020-08-25 13:24:27 +08:00
committed by Gitee
parent fa5596bb20
commit 27c8d2b7f0
3 changed files with 80 additions and 32 deletions

View File

@ -61,6 +61,12 @@ public class Constants
* 登录用户 redis key
*/
public static final String LOGIN_TOKEN_KEY = "login_tokens:";
/**
* 登录当前在线 用户 redis key
*/
public static final String LOGIN_TOKEN_KEY_ONLINE = "login_tokens_onlie:";
/**
* 防重提交 redis key

View File

@ -9,6 +9,8 @@ import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.stereotype.Component;
/**
@ -23,6 +25,7 @@ public class RedisCache
@Autowired
public RedisTemplate redisTemplate;
/**
* 缓存基本的对象Integer、String、实体类等
*
@ -47,6 +50,8 @@ public class RedisCache
redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
}
/**
* 设置有效时间
*
@ -189,6 +194,20 @@ public class RedisCache
redisTemplate.opsForHash().put(key, hKey, value);
}
/**
* 缓存基本的对象Integer、String、实体类等
*
* @param key 缓存的键值
* @param value 缓存的值
* @param timeout 时间
* @param timeUnit 时间颗粒度
*/
public boolean delCacheMapKey(final String key,final String... token)
{
return redisTemplate.opsForHash().delete(key,token)>=1;
}
/**
* 获取Hash中的数据
*
@ -224,4 +243,9 @@ public class RedisCache
{
return redisTemplate.keys(pattern);
}
}