前言
在开发中,我们经常使用缓存。
分布式缓存使用CARP(Caching Array Routing Protocol)技术,可以产生一种高效率无接缝式的缓存,使用上让多台缓存服务器形同一台,并且不会造成数据重复存放的情况。
示例代码
首选引用如下DLL和依赖DLL,ServiceStack已宣称有100多位开发者在开发,我们可以借助其强大的团队来实现Cache功能
using ServiceStack.CacheAccess;
using ServiceStack.CacheAccess.Azure;
using ServiceStack.CacheAccess.Memcached;
using ServiceStack.CacheAccess.Providers;
using ServiceStack.Redis;
using System.Collections.Generic; using System.Net; using ServiceStack.CacheAccess; using ServiceStack.CacheAccess.Azure; using ServiceStack.CacheAccess.Memcached; using ServiceStack.CacheAccess.Providers; using ServiceStack.Redis; namespace TongKuao.Cache { public class CacheHelper { public static ICacheClient cache = GetCache(CacheType.Memcache); public static ICacheClient GetCache(CacheType cacheType) { ICacheClient cache = null; switch (cacheType) { case CacheType.MemoryCache: cache = GetMemotyCache(); break; case CacheType.Memcache: cache = GetMemCache(); break; case CacheType.Redis: cache = GetRedis(); break; case CacheType.Azure: cache = GetAzure(); break; default: cache = null; break } return cache; } private static ICacheClient GetMemotyCache() { return new MemoryCacheClient(); } private static ICacheClient GetMemCache() { List<System.Net.IPEndPoint> iPEndPoints = new List<System.Net.IPEndPoint>(); iPEndPoints.Add(new IPEndPoint(IPAddress.Parse("127.0.0.1"), 11211)); return new MemcachedClientCache(iPEndPoints); } private static ICacheClient GetRedis() { IRedisClientsManager iRedisClientsManager = new PooledRedisClientManager("127.0.0.1:6379"); ICacheClient cache = (ICacheClient)iRedisClientsManager.GetCacheClient(); return cache; } private static ICacheClient GetAzure() { return new AzureCacheClient("MyAppCache"); } public enum CacheType { MemoryCache = 1, Memcache = 2, Redis = 3, Azure = 4 } } }
我们的调用方式:
var dater = CacheHelper.cache.Get<string>("Dater"); if (dater == null) { CacheHelper.cache.Add<string>("Dater", DateTime.Now.ToString(), new TimeSpan(0, 0, 0, 10)); } ViewBag.Dater = dater;
提示:在正式的开发中,我们一般会用IoC进入注入的方式,这里只是简单的示例。