项目经验之:分布式缓存HttpRuntime.cache应用到单点登陆中_优化登陆

 项目经验之:分布式缓存HttpRuntime.cache应用到单点登陆中_优化登陆_第1张图片

 

 

以前的设计方案,是我们在数据库中放一个表,用作存储验证登陆成功的用户,并且生成用

TOKEN(令牌)

 

 

分布式缓存+集群的解决方案图:

项目经验之:分布式缓存HttpRuntime.cache应用到单点登陆中_优化登陆_第2张图片

 

 

大概就是这样设计的。。。四台服务器。

我们将存储登陆成功的用户表从数据库中分离出来,放到缓存中。并利用集群建立四台服务器缓存同步更新。。。。

 

在登陆时,我们读了缓存中的Token,同时遍历IP集群中配置的服务器地址。同步四台服务器之间的Token缓存。。。。。

 

项目经验之:分布式缓存HttpRuntime.cache应用到单点登陆中_优化登陆_第3张图片

相应的代码:

DE层中配置文件:

 

Code

 

 CacheBase.cs  缓存基类

 

using  System;
using  System.Collections.Generic;
using  System.Linq;
using  System.Text;
using  System.Runtime.Serialization.Formatters.Binary;
using  System.Security;
using  System.Web.Caching;
using  System.Web;
using  System.ServiceModel;   
using  System.Reflection;
using  HttpRuntimeCacheDE.CacheService;

namespace  HttpRuntimeCacheDE.Cache
{
    
public   class  CacheBase
    {
        
private  CacheServiceSoapClient client  =   null ;
        
private  CacheService.LoginStatusParam cParam  =   new  CacheService.LoginStatusParam();
        
private  CacheService.CacheOperation cOperation  =   new  CacheService.CacheOperation();
        
///   <summary>
        
///  发送用于同步集群中的Cache数据
        
///   </summary>
        
///   <param name="param"> Cache数据 </param>
         public   void  SendCacheData(CacheParam param, CacheOperation operation)
        {

            
string [] ips  =  CacheConfig.ClusterGroupAddr;
            
foreach  ( string  ip  in  ips)
            {
                
try
                {
                    client 
=   new  CacheService.CacheServiceSoapClient();
                    EndpointAddress address 
=   new  EndpointAddress( " http:// "   +  ip  +   @" / "   +  CacheConfig.WebSiteName  +   " /CacheService.asmx " );

                    client.Endpoint.Address 
=  address;

                    RemoteParamConvert(cParam, param);

                    
switch  (operation)
                    {
                        
case  CacheOperation.Add:
                            cOperation 
=  CacheService.CacheOperation.Add;
                            
break ;
                        
case  CacheOperation.Edit:
                            cOperation 
=  CacheService.CacheOperation.Edit;
                            
break ;
                        
case  CacheOperation.Delete:
                            cOperation 
=  CacheService.CacheOperation.Delete;
                            
break ;
                        
default :
                            
break ;
                    }

                    client.GetCacheData(cParam, cOperation);
                }
                
catch
                {
                    
continue ;
                }
            }

        }
        
///   <summary>
        
///  用于同步集群中的Cache数据
        
///   </summary>
        
///   <param name="param"> Cache数据 </param>
        
///   <param name="operation"> Cache操作类型 </param>
         public   void  SyncCacheData(CacheParam param, CacheOperation operation)
        {
            
switch  (operation)
            {
                
case  CacheOperation.Add:
                    AddCache(param);
                    
break ;
                
case  CacheOperation.Edit:
                    EditCache(param);
                    
break ;
                
case  CacheOperation.Delete:
                    DeleteCache(param);
                    
break ;
                
default :
                    
break ;
            }
        }
        
//  增加Cache数据
         protected   virtual   void  AddCache(CacheParam param)
        {
            
string  key  =  BuildCacheKey(param);
            HttpRuntime.Cache.Add(key, param, 
null , DateTime.Now.AddHours( 1 ), System.Web.Caching.Cache.NoSlidingExpiration, CacheItemPriority.High,  null );
        }
        
//  修改Cache数据
         protected   virtual   void  EditCache(CacheParam param)
        {
            
string  key  =  BuildCacheKey(param);
            HttpRuntime.Cache.Remove(key);
            AddCache(param);
        }

        
//  删除Cache数据
         protected   virtual   void  DeleteCache(CacheParam param)
        {
            
string  key  =  BuildCacheKey(param);
            HttpRuntime.Cache.Remove(key);
        }

        
//  生成在线的Cache Key
         protected   virtual   string  BuildCacheKey(CacheParam param)
        {
            
return   "" ;
        }
        
//  将本地参数转换成远程调用的参数
         private   void  RemoteParamConvert( object  sourceObj,  object  targetObj)
        {
            
try
            {
                PropertyInfo[] sourceInfo 
=  sourceObj.GetType().GetProperties();
                PropertyInfo[] targetInfo 
=  targetObj.GetType().GetProperties();

                
for  ( int  i  =   0 ; i  <  sourceInfo.Length; i ++ )
                {
                    
if  (sourceInfo[i].Name  ==  targetInfo[i].Name)
                    {
                        
object  targetValue  =  targetInfo[i].GetValue(targetObj,  null );


                        
if  ( ! ParamFunc.Judgement(targetValue))
                            
continue ;

                        sourceInfo[i].SetValue(sourceObj, targetValue, 
null );
                    }
                }
            }
            
catch  (Exception ex)
            {
                
throw  ex;
            }
        }
       
    }

    
///   <summary>
    
///  Cache同步操作类型
    
///   </summary>
     public   enum  CacheOperation
    {
        Add,
        Edit,
        Delete
    }
}

 

  CacheFunc.cs 缓存操作函数

Code

 

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