缓存是提高应用程序性能的最好方法之一。运用缓存可以优化数据查询,避免不必要的网络数据回传,和避免执行不必要的完全相同的数据处理逻辑。
关于缓存的设计
1、什么情况下用缓存
缓存是提高应用程序性能的最好方法之一。运用缓存可以优化数据查询,避免不必要的网络数据回传,和避免执行不必要的完全相同的数据处理逻辑。在实现缓存的时候我们要确定什么时候装入缓存数据。用异步装入缓存或用批处理方式来避免出现客户端数据延迟。
一般来说在一定时间内请求了相同的业务逻辑而没有变更的话,可以采用缓存来设计。数据请求频繁的的请求不适合采用缓存,如论坛的回复,但是论坛的主题是可以采用缓存设计的。
2、缓存设计的步骤
确定缓存数据结构:即设计中哪些数据用到了缓存,设计这些数据的缓存结构
确定缓存什么数据
确定缓存过期规则和清理
确定如何装入缓存数据
3、示例 Community Server的缓存类
using System.Collections;
using System.Text.RegularExpressions;
using System.Web;
using System.Web.Caching;
namespace Larry.Cache
{
///
///
public class BaseCache
{
///
/// 如果您向 Cache 中添加某个具有依赖项的项,当依赖项更改时,
/// 该项将自动从 Cache 中删除。例如,假设您向 Cache 中添加某项,
/// 并使其依赖于文件名数组。当该数组中的某个文件更改时,
/// 与该数组关联的项将从缓存中删除。
/// [C#]
/// Insert the cache item.
/// CacheDependency dep = new CacheDependency(fileName, dt);
/// cache.Insert(“key”, “value”, dep);
///
public static readonly int DayFactor = ;
public static readonly int HourFactor = ;
public static readonly int MinuteFactor = ;
public static readonly double SecondFactor = 0.;
private static readonly System.Web.Caching.Cache _cache;
private static int Factor = ;
///
///
static BaseCache()
{
HttpContext context = HttpContext.Current;
if (context != null)
{
_cache = context.Cache;
}
else
{
_cache = HttpRuntime.Cache;
}
}
///
///
public static void Clear()
{
IDictionaryEnumerator CacheEnum = _cache.GetEnumerator();
ArrayList al = new ArrayList();
while (CacheEnum.MoveNext()) //逐个清除
{
al.Add(CacheEnum.Key);
}
foreach (string key in al)
{
_cache.Remove(key);
}
}
public static void RemoveByPattern(string pattern)
{
IDictionaryEnumerator CacheEnum = _cache.GetEnumerator();
Regex regex = new Regex(pattern, RegexOptions.IgnoreCase | RegexOptions.Singleline | RegexOptions.Compiled);
while (CacheEnum.MoveNext())
{
if (regex.IsMatch(CacheEnum.Key.ToString()))
来源gaodai#ma#com搞@代~码网 _cache.Remove(CacheEnum.Key.ToString());
}
}
///
///
///
public static void Remove(string key)
{
_cache.Remove(key);
}
///
///
///
///
public static void Insert(string key, object obj)
{
Insert(key, obj, null, );
}
///
///
///
///
///
public static void Insert(string key, object obj, CacheDependency dep)
{
Insert(key, obj, dep, MinuteFactor * );
}
///
///
///
///
///
public static void Insert(string key, object obj, int seconds)
{
Insert(key, obj, null, seconds);
}
///
///
///
///
///
///
public static void Insert(string key, object obj, int seconds, CacheItemPriority priority)
{
Insert(key, obj, null, seconds, priority);
}
///
///
///
///
///
///
public static void Insert(string key, object obj, CacheDependency dep, int seconds)
{
Insert(key, obj, dep, seconds, CacheItemPriority.Normal);
}
///
///
///
///
///
///
///
public static void Insert(string key, object obj, CacheDependency dep, int seconds, CacheItemPriority priority)
{
if (obj != null)
{
_cache.Insert(key, obj, dep, DateTime.Now.AddSeconds(Factor * seconds), TimeSpan.Zero, priority, null);
}
}
public static void MicroInsert(string key, object obj, int secondFactor)
{
if (obj != null)
{
_cache.Insert(key, obj, null, DateTime.Now.AddSeconds(Factor * secondFactor), TimeSpan.Zero);
}
}
///
///
///
///
public static void Max(string key, object obj)
{
Max(key, obj, null);
}
///
///
///
///
///
public static void Max(string key, object obj, CacheDependency dep)
{
if (obj != null)
{
_cache.Insert(key, obj, dep, DateTime.MaxValue, TimeSpan.Zero, CacheItemPriority.AboveNormal, null);
}
}
///
///
///
///
public static void Permanent(string key, object obj)
{
Permanent(key, obj, null);
}
public static void Permanent(string key, object obj, CacheDependency dep)
{
if (obj != null)
{
_cache.Insert(key, obj, dep, DateTime.MaxValue, TimeSpan.Zero, CacheItemPriority.NotRemovable, null);
}
}
public static object Get(string key)
{
return _cache[key];
}
///
///
public static int SecondFactorCalculate(int seconds)
{
// Insert method below takes integer seconds, so we have to round any fractional values
return Convert.ToInt(Math.Round((double)seconds * SecondFactor));
}
}
}
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