Redis封装之Set

RedisSetService:

    /// <summary>
    /// Set:用哈希表来保持字符串的唯一性,没有先后顺序,存储一些集合性的数据
    /// 1.共同好友、二度好友
    /// 2.利用唯一性,可以统计访问网站的所有独立 IP
    /// </summary>
    public class RedisSetService : RedisBase
    {
        #region 添加
        /// <summary>
        /// key集合中添加value值
        /// </summary>
        public void Add(string key, string value)
        {
            RedisBase.iClient.AddItemToSet(key, value);
        }
        /// <summary>
        /// key集合中添加list集合
        /// </summary>
        public void Add(string key, List<string> list)
        {
            RedisBase.iClient.AddRangeToSet(key, list);
        }
        #endregion

        #region 获取
        /// <summary>
        /// 随机获取key集合中的一个值
        /// </summary>
        public string GetRandomItemFromSet(string key)
        {
            return RedisBase.iClient.GetRandomItemFromSet(key);
        }
        /// <summary>
        /// 获取key集合值的数量
        /// </summary>
        public long GetCount(string key)
        {
            return RedisBase.iClient.GetSetCount(key);
        }
        /// <summary>
        /// 获取所有key集合的值
        /// </summary>
        public HashSet<string> GetAllItemsFromSet(string key)
        {
            return RedisBase.iClient.GetAllItemsFromSet(key);
        }
        #endregion

        #region 删除
        /// <summary>
        /// 随机删除key集合中的一个值
        /// </summary>
        public string RandomRemoveItemFromSet(string key)
        {
            return RedisBase.iClient.PopItemFromSet(key);
        }
        /// <summary>
        /// 删除key集合中的value
        /// </summary>
        public void RemoveItemFromSet(string key, string value)
        {
            RedisBase.iClient.RemoveItemFromSet(key, value);
        }
        #endregion

        #region 其它
        /// <summary>
        /// 从fromkey集合中移除值为value的值,并把value添加到tokey集合中
        /// </summary>
        public void MoveBetweenSets(string fromkey, string tokey, string value)
        {
            RedisBase.iClient.MoveBetweenSets(fromkey, tokey, value);
        }
        /// <summary>
        /// 返回keys多个集合中的并集,返还hashset
        /// </summary>
        public HashSet<string> GetUnionFromSets(params string[] keys)
        {
            return RedisBase.iClient.GetUnionFromSets(keys);
        }
        /// <summary>
        /// 返回keys多个集合中的交集,返还hashset
        /// </summary>
        public HashSet<string> GetIntersectFromSets(params string[] keys)
        {
            return RedisBase.iClient.GetIntersectFromSets(keys);
        }
        /// <summary>
        /// 返回keys多个集合中的差集,返还hashset
        /// </summary>
        /// <param name="fromKey">原集合</param>
        /// <param name="keys">其他集合</param>
        /// <returns>出现在原集合,但不包含在其他集合</returns>
        public HashSet<string> GetDifferencesFromSet(string fromKey, params string[] keys)
        {
            return RedisBase.iClient.GetDifferencesFromSet(fromKey,keys);
        }
        /// <summary>
        /// keys多个集合中的并集,放入newkey集合中
        /// </summary>
        public void StoreUnionFromSets(string newkey, string[] keys)
        {
            RedisBase.iClient.StoreUnionFromSets(newkey, keys);
        }
        /// <summary>
        /// 把fromkey集合中的数据与keys集合中的数据对比,fromkey集合中不存在keys集合中,则把这些不存在的数据放入newkey集合中
        /// </summary>
        public void StoreDifferencesFromSet(string newkey, string fromkey, string[] keys)
        {
            RedisBase.iClient.StoreDifferencesFromSet(newkey, fromkey, keys);
        }
        #endregion
    }

  

原文地址:https://www.cnblogs.com/marshhu/p/6765110.html