标签：base 需求 lock mil 应用 模拟 添加 实现 intersect
ConnectionMultiplexer 是StackExchange.Redis的核心对象，用这个类的实例来进行Redis的一系列操作，对于一个整个应用程序应该只有一个ConnectionMultiplexer 类的实例。上一章中StackExchangeRedisHelper 的相关代码如下
private static ConnectionMultiplexer _instance = null; /// <summary> /// 使用一个静态属性来返回已连接的实例，如下列中所示。这样，一旦 ConnectionMultiplexer 断开连接，便可以初始化新的连接实例。 /// </summary> public static ConnectionMultiplexer Instance { get { if (_instance == null) { lock (_locker) { if (_instance == null || !_instance.IsConnected) { _instance = ConnectionMultiplexer.Connect(Coonstr); } } } //注册如下事件 _instance.ConnectionFailed += MuxerConnectionFailed; _instance.ConnectionRestored += MuxerConnectionRestored; _instance.ErrorMessage += MuxerErrorMessage; _instance.ConfigurationChanged += MuxerConfigurationChanged; _instance.HashSlotMoved += MuxerHashSlotMoved; _instance.InternalError += MuxerInternalError; return _instance; } }
string类型应该是最长用到的了，用法也很简单，下面展示了用Redis来进行基本的字符串数字存储
public static IDatabase GetDatabase() { return Instance.GetDatabase(); } /// <summary> /// 设置缓存 /// </summary> /// <param name="key"></param> /// <param name="value"></param> public static void Set(string key, object value, TimeSpan? expiry = default(TimeSpan?), When when = When.Always, CommandFlags flags = CommandFlags.None) { key = MergeKey(key); GetDatabase().StringSet(key, Serialize(value), expiry, when, flags); } /// <summary> /// 根据key获取缓存对象 /// </summary> /// <typeparam name="T"></typeparam> /// <param name="key"></param> /// <returns></returns> public static T Get<T>(string key) { key = MergeKey(key); return Deserialize<T>(GetDatabase().StringGet(key)); } /// <summary> /// 移除指定key的缓存 /// </summary> /// <param name="key"></param> /// <returns></returns> public static bool Remove(string key) { key = MergeKey(key); return GetDatabase().KeyDelete(key); }
除了基本的string类型操作，Redis同时支持以下几种类型的操作
下面我依次来介绍下这四种类型在StackExchange.Redis中的基本用法
关于代码中的KeyDelete为删除对应的键，我这里是因为测试防止重复才加上的。大家不要误会
public static void LatestUserTop10() { IDatabase db = StackExchangeRedisHelper.GetDatabase(); //模拟有一百名用户 for (int i = 1; i <= 100; i++) { db.ListLeftPush("user", "用户"+i); //每一名用户插入后都只保留最后的十个用户到redis数据库中 db.ListTrim("user", 0, 9); } RedisValue[] userStores = db.ListRange("user"); foreach (var item in userStores) { Console.Write((string)item + ","); } db.KeyDelete("user"); Console.ReadLine(); }
public void RedisSetTest() { IDatabase db = StackExchangeRedisHelper.GetDatabase(); for (int i = 1; i <= 20; i++) { db.SetAdd("文章1", i); } for (int i = 15; i <= 35; i++) { db.SetAdd("文章2", i); } RedisValue[] inter = db.SetCombine(SetOperation.Intersect, "文章1", "文章2"); RedisValue[] union = db.SetCombine(SetOperation.Union, "文章1", "文章2"); RedisValue[] dif1 = db.SetCombine(SetOperation.Difference, "文章1", "文章2"); RedisValue[] dif2 = db.SetCombine(SetOperation.Difference, "文章2", "文章1"); int x = 0; Console.WriteLine("两篇文章都评论过的用户"); foreach (var item in inter.OrderBy(m => m).ToList()) { Console.Write((string)item + " "); } Console.WriteLine("\n评论过两篇文章中任意一篇文章的用户"); foreach (var item in union.OrderBy(m => m).ToList()) { Console.Write((string)item + " "); } Console.WriteLine("\n只评论过其第一篇文章的用户"); foreach (var item in dif1.OrderBy(m => m).ToList()) { Console.Write((string)item + " "); } Console.WriteLine("\n只评论过其第二篇文章的用户"); foreach (var item in dif2.OrderBy(m => m).ToList()) { Console.Write((string)item + " "); } db.KeyDelete("文章1"); db.KeyDelete("文章2"); Console.ReadLine(); }
public void HotestUserTop10() { IDatabase db = StackExchangeRedisHelper.GetDatabase(); //模拟有一百名评论者，开始每个用户被“赞”的次数为1 List<SortedSetEntry> entrys = new List<SortedSetEntry>(); for (int i = 1; i <= 100; i++) { db.SortedSetAdd("文章1", "评论者" + i, 1); } //评论者2又被赞了两次 db.SortedSetIncrement("文章1", "评论者2", 2); //对应的值的score+2 //评论者101被赞了4次 db.SortedSetIncrement("文章1", "评论者101", 4); //若不存在该值，则插入一个新的 RedisValue[] userStores = db.SortedSetRangeByRank("文章1", 0, 10, Order.Descending); for (int i = 0; i < userStores.Length; i++) { Console.WriteLine(userStores[i]+":"+ db.SortedSetScore("文章1", userStores[i])); } db.KeyDelete("文章1"); Console.ReadLine(); }
public void RedisHashTest() { IDatabase db = StackExchangeRedisHelper.GetDatabase(); db.HashSet("student1", "name", "张三"); db.HashSet("student1", "age", 12); db.HashSet("student1", "class", "五年级"); Console.WriteLine(db.HashGet("student1", "name")); RedisValue[] result = db.HashGet("student1", new RedisValue[] { "name", "age","class" }); Console.WriteLine(string.Join(",",result)); db.KeyDelete("student1"); Console.ReadLine(); }
以下代码是我分别用stringset和hash来存储对象进行的时间及内存比较，内存可通过redis的info命令来查看。
最终显示耗时方面stringset稍微快一点点，内存占用stringset却是hash的二倍
public void RedisHashVsStringSet() { IDatabase db = StackExchangeRedisHelper.GetDatabase(); Stopwatch sw = new Stopwatch(); sw.Start(); //for (int i = 0; i < 100000; i++) //{ // db.HashSet("studenths" + i, "name", "张三" + i); // db.HashSet("studenths" + i, "age", 12 + i); // db.HashSet("studenths" + i, "class", "五年级" + i); //} //Console.WriteLine(sw.Elapsed.TotalMilliseconds); //sw.Restart(); for (int i = 0; i < 100000; i++) { db.StringSet("studentstr_name" + i, "张三" + i); db.StringSet("studentstr_age" + i, 12 + i); db.StringSet("studentstr_class" + i, "五年级" + i); } Console.WriteLine(sw.Elapsed.TotalMilliseconds); //for (int i = 0; i < 100000; i++) //{ // db.KeyDelete("studenths" + i); // db.KeyDelete("studentstr_name" + i); // db.KeyDelete("studentstr_age" + i); // db.KeyDelete("studentstr_class" + i); //} Console.ReadLine(); }
StackExchange.Redis的使用 Redis五种数据类型的应用
标签：base 需求 lock mil 应用 模拟 添加 实现 intersect
原文地址：http://www.cnblogs.com/bluesummer/p/7677969.html
