AppFabric缓存是一种分布式的内存缓存技术，可以跨多个服务器使用物理内存以键值对的形式存储数据。AppFabric为. net Framework应用程序提供了性能和可伸缩性改进。概念和架构

我使用两个类。第一个是缓存核心对象:

public class Cacher<TValue>
    where TValue : class
{
    #region Properties
    private Func<TValue> _init;
    public string Key { get; private set; }
    public TValue Value
    {
        get
        {
            var item = HttpRuntime.Cache.Get(Key) as TValue;
            if (item == null)
            {
                item = _init();
                HttpContext.Current.Cache.Insert(Key, item);
            }
            return item;
        }
    }
    #endregion

    #region Constructor
    public Cacher(string key, Func<TValue> init)
    {
        Key = key;
        _init = init;
    }
    #endregion

    #region Methods
    public void Refresh()
    {
        HttpRuntime.Cache.Remove(Key);
    }
    #endregion
}

第二个是缓存对象列表:

public static class Caches
{
    static Caches()
    {
        Languages = new Cacher<IEnumerable<Language>>("Languages", () =>
                                                          {
                                                              using (var context = new WordsContext())
                                                              {
                                                                  return context.Languages.ToList();
                                                              }
                                                          });
    }
    public static Cacher<IEnumerable<Language>> Languages { get; private set; }
}

我要说的是，如果您发现以前的解决方案非常复杂，那么在这个持久化数据问题上实现Singleton可以是一个解决方案

 public class GPDataDictionary
{
    private Dictionary<string, object> configDictionary = new Dictionary<string, object>();

    /// <summary>
    /// Configuration values dictionary
    /// </summary>
    public Dictionary<string, object> ConfigDictionary
    {
        get { return configDictionary; }
    }

    private static GPDataDictionary instance;
    public static GPDataDictionary Instance
    {
        get
        {
            if (instance == null)
            {
                instance = new GPDataDictionary();
            }
            return instance;
        }
    }

    // private constructor
    private GPDataDictionary() { }

}  // singleton

public sealed class CacheManager
{
    private static volatile CacheManager instance;
    private static object syncRoot = new Object();
    private ObjectCache cache = null;
    private CacheItemPolicy defaultCacheItemPolicy = null;

    private CacheEntryRemovedCallback callback = null;
    private bool allowCache = true;

    private CacheManager()
    {
        cache = MemoryCache.Default;
        callback = new CacheEntryRemovedCallback(this.CachedItemRemovedCallback);

        defaultCacheItemPolicy = new CacheItemPolicy();
        defaultCacheItemPolicy.AbsoluteExpiration = DateTime.Now.AddHours(1.0);
        defaultCacheItemPolicy.RemovedCallback = callback;
        allowCache = StringUtils.Str2Bool(ConfigurationManager.AppSettings["AllowCache"]); ;
    }
    public static CacheManager Instance
    {
        get
        {
            if (instance == null)
            {
                lock (syncRoot)
                {
                    if (instance == null)
                    {
                        instance = new CacheManager();
                    }
                }
            }

            return instance;
        }
    }

    public IEnumerable GetCache(String Key)
    {
        if (Key == null || !allowCache)
        {
            return null;
        }

        try
        {
            String Key_ = Key;
            if (cache.Contains(Key_))
            {
                return (IEnumerable)cache.Get(Key_);
            }
            else
            {
                return null;
            }
        }
        catch (Exception)
        {
            return null;
        }
    }

    public void ClearCache(string key)
    {
        AddCache(key, null);
    }

    public bool AddCache(String Key, IEnumerable data, CacheItemPolicy cacheItemPolicy = null)
    {
        if (!allowCache) return true;
        try
        {
            if (Key == null)
            {
                return false;
            }

            if (cacheItemPolicy == null)
            {
                cacheItemPolicy = defaultCacheItemPolicy;
            }

            String Key_ = Key;

            lock (Key_)
            {
                return cache.Add(Key_, data, cacheItemPolicy);
            }
        }
        catch (Exception)
        {
            return false;
        }
    }

    private void CachedItemRemovedCallback(CacheEntryRemovedArguments arguments)
    {
        String strLog = String.Concat("Reason: ", arguments.RemovedReason.ToString(), " | Key-Name: ", arguments.CacheItem.Key, " | Value-Object: ", arguments.CacheItem.Value.ToString());
        LogManager.Instance.Info(strLog);
    }
}

Steve Smith写了两篇很棒的博文，演示了如何在ASP中使用他的CachedRepository模式。净MVC。它有效地使用存储库模式，并允许您在无需更改现有代码的情况下获得缓存。

http://ardalis.com/Introducing-the-CachedRepository-Pattern

http://ardalis.com/building-a-cachedrepository-via-strategy-pattern

在这两篇文章中，他向你展示了如何建立这种模式，并解释了为什么它是有用的。通过使用这种模式，您可以在现有代码看不到任何缓存逻辑的情况下获得缓存。本质上，使用缓存的存储库就像使用其他存储库一样。

我用过这种方法，对我很有效。 https://msdn.microsoft.com/en-us/library/system.web.caching.cache.add (v = vs.110) . aspx system.web. cache. cache.add的参数信息。

public string GetInfo()
{
     string name = string.Empty;
     if(System.Web.HttpContext.Current.Cache["KeyName"] == null)
     {
         name = GetNameMethod();
         System.Web.HttpContext.Current.Cache.Add("KeyName", name, null, DateTime.Noew.AddMinutes(5), Cache.NoSlidingExpiration, CacheitemPriority.AboveNormal, null);
     }
     else
     {
         name = System.Web.HttpContext.Current.Cache["KeyName"] as string;
     }

      return name;

}