此类问题还可以延伸到类似进销存的批次计算中,这也要关注其他历史记录来决定当前某条记录的状态。sql语句无法简单实现mdx语句的类似功能,必须得用交叉表关联来对比。这里我们用CLR函数来实现mdx语句的类似语法。在select的时候把得到过的做个缓存就可以了。效率应该可以提高不少。clr的代码如下,编译为TestFun.dll,复制到sql服务器的文件目录下。 -------------------------------------------------------------------------------- 代码如下:using System; using System.Data; using System.Data.SqlClient; using System.Data.SqlTypes; using Microsoft.SqlServer.Server; public partial class UserDefinedFunctions { // 保存当前组当前值 private static System.Collections.Generic.Dictionary _listValue = new System.Collections.Generic.Dictionary (); // 保存当前组 private static System.Collections.Generic.Dictionary _listGroup = new System.Collections.Generic.Dictionary (); /// /// 获取当前组上条记录数值 /// /// /// /// /// [Microsoft.SqlServer.Server.SqlFunction ] public static SqlString GetPrevMemberValue(SqlString key,SqlString currentGroup,SqlString currentValue) { if (key.IsNull || currentGroup.IsNull) return SqlString .Null; try { SqlString prevMemberValue = _listValue[key.Value]; // 组变更 if (_listGroup[key.Value] != currentGroup.Value) { prevMemberValue = SqlString .Null; _listGroup[key.Value] = currentGroup.Value; } // 值变更 _listValue[key.Value] = currentValue; return prevMemberValue; } catch { return SqlString .Null; } } /// /// 初始化并发键 /// /// /// [Microsoft.SqlServer.Server.SqlFunction ] public static SqlBoolean InitKey(SqlString key) { try { _listValue.Add(key.Value,SqlString .Null); _listGroup.Add(key.Value,string .Empty); return true ; } catch { return false ; } } /// /// 释放并发键 /// /// /// [Microsoft.SqlServer.Server.SqlFunction ] public static SqlBoolean DisposeKey(SqlString key) { try { _listValue.Remove(key.Value); _listGroup.Remove(key.Value); return true ; } catch { return false ; } } };
-------------------------------------------------------------------------------- 部署和生成自定义函数,其中考虑到并发,我们还是需要一个并发键来表达当前查询 -------------------------------------------------------------------------------- 代码如下:CREATE ASSEMBLY TestForSQLCLR FROM 'E:/sqlclrdata/TestFun.dll' WITH PERMISSION_SET = UnSAFE; -- go CREATE FUNCTION dbo. xfn_GetPrevMemberValue ( @key nvarchar ( 255), @initByDim nvarchar ( 255), @currentValue nvarchar ( 255) ) RETURNS nvarchar ( 255) AS EXTERNAL NAME TestForSQLCLR. [UserDefinedFunctions]. GetPrevMemberValue go CREATE FUNCTION dbo. xfn_initKey ( @key nvarchar ( 255) ) RETURNS bit AS EXTERNAL NAME TestForSQLCLR. [UserDefinedFunctions]. InitKey go CREATE FUNCTION dbo. xfn_disposeKey ( @key nvarchar ( 255) ) RETURNS bit AS EXTERNAL NAME TestForSQLCLR. [UserDefinedFunctions]. DisposeKey
-------------------------------------------------------------------------------- 这样我们就可以使用了,测试脚本如下, xfn_GetPrevMemberValue就是获取上月价格的函数。 -------------------------------------------------------------------------------- -- 建立测试环境 代码如下:declare @t table ( [ 区域 ] [varchar]( 4) COLLATE Chinese_PRC_CI_AS NULL, [TradeMonth] [varchar]( 7) COLLATE Chinese_PRC_CI_AS NULL, [TradeMoney] [float] NULL, [TradeArea] [float] NULL, [TradePrice] [float] NULL ) insert into @t select ' 闵行 ','2007-03','2125714.91','241.65','8796.67' union select ' 闵行 ','2007-04','8408307.64','907.32','9267.19' union select ' 闵行 ','2007-05','10230321.95','1095.88','9335.26' union select ' 浦东 ','2007-01','12738432.25','1419.05','8976.73' union select ' 浦东 ','2007-02','4970536.74','395.49','12568.05' union select ' 浦东 ','5985405.76','745.94','8023.98' union select ' 浦东 ','21030788.61','1146.89','18337.23' union select ' 普陀 ','1863896','161.39','11549.02' union select ' 普陀 ','1614015','119.59','13496.24' union select ' 普陀 ','1059235.19','135.21','7834' -- 测试语句 代码如下:declare @key varchar ( 40) declare @b bit set @key= newid () select @b= dbo. xfn_initKey( @key) select 区域,TradeMonth,TradePrice,LastMonthPrice, cast ( round (( Tradeprice- LastMonthPrice)* 100/ LastMonthPrice,2) as varchar ( 10))+ '%' as 环比 from ( select *,cast ( dbo. xfn_GetPrevMemberValue( @key,区域,Tradeprice) as float ) as LastMonthPrice from @t ) t select @b= dbo. xfn_disposeKey( @key) -- 结果 /* 区域 TradeMonth TradePrice LastMonthPrice 环比 ---- ---------- ---------------------- ---------------------- ----------- 闵行 2007-03 8796.67 NULL NULL 闵行 2007-04 9267.19 8796.67 5.35% 闵行 2007-05 9335.26 9267.19 0.73% 浦东 2007-01 8976.73 NULL NULL 浦东 2007-02 12568.05 8976.73 40.01% 浦东 2007-03 8023.98 12568 -36.16% 浦东 2007-04 18337.23 8023.98 128.53% 普陀 2007-01 11549.02 NULL NULL 普陀 2007-02 13496.24 11549 16.86% 普陀 2007-03 7834 13496.2 -41.95% */ -------------------------------------------------------------------------------- 这个函数写的还是比较粗糙,如果进一步改进还可以详细定义如何获取上一个维度的方法。这里只是根据查询顺序来做缓存。感兴趣的朋友可以完善一下。
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