前言
异步实现
代码实现:
private void like(long userId,int type,int textId,long entityUserId){
redisTemplate.execute(new SessionCallback() {
@Override
public Object execute(RedisOperations operations) throws DataAccessException {
String entityLikeKey = RedisKeyUtil.getEntityLikeKey(type, textId);
String userLikeKey = RedisKeyUtil.getUserLikeKey(entityUserId);
boolean isMember = redisTemplate.opsForSet().isMember(entityLikeKey, userId);
//多个更新操作，需要事务
operations.multi();
if (isMember) {
//取消赞
redisTemplate.opsForSet().remove(entityLikeKey, userId);
redisTemplate.opsForValue().decrement(userLikeKey);
} else {
//点赞
redisTemplate.opsForSet().add(entityLikeKey, userId);
redisTemplate.opsForValue().increment(userLikeKey);
}
return operations.exec();
}
});
}
private long findEntityLikeCount(int type, int textId){
String entityLikeKey = RedisKeyUtil.getEntityLikeKey(type, textId);
return redisTemplate.opsForSet().size(entityLikeKey);
}
private int findEntityLikeStatus(int textId,long userId){
String entityLikeKey = RedisKeyUtil.getEntityLikeKey(1, textId);
//此处返回int，是为了进行扩展。比如扩展踩，为止2.等等情况
return redisTemplate.opsForSet().isMember(entityLikeKey,userId)?1:0;
}
private int findUserLikeCount(long userId){
String userLikeKey = RedisKeyUtil.getUserLikeKey(userId);
Integer count = (Integer) redisTemplate.opsForValue().get(userLikeKey);
// count.intValue()数据的整数形式;
return count==null?0:count.intValue();
}
Redis–key设置
public class RedisKeyUtil {
private static final String SPLIT = ":";
private static final String PREFIX_ENTITY_LIKE = "like:entity";
private static final String PREFIX_USER_LIKE = "like:user";
private static final String PREFIX_USER_COMMENTS="comments:user";
public static String getEntityLikeKey(int entityType, int entityId) {
return PREFIX_ENTITY_LIKE + entityType + SPLIT + entityId;
}
*某个用户收到的总赞数
* like:user:userId ->long
* @param userId
public static String getUserLikeKey(long userId) {
return PREFIX_USER_LIKE + SPLIT + userId;
* 汇总某个帖子的评论数量
public static String getUserCommentsKey(int articleId) {
return PREFIX_USER_COMMENTS + SPLIT + articleId;
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