第一步 ：下载 sql Server 2008 的所有数据库实例(sample) ：
http://www.cnblogs.com/bepare/archive/2009/04/30/1447179.html
默认安装之后到 下去 C:\Program Files\Microsoft sql Server\MSsql.1\MSsql\Data 下找 AdventureWorksDW的数据库，然后再sql server2008上 附加一下就ok了。
第二步：到下面
http://technet.microsoft.com/zh-TW/sqlserver/cc510300.aspx
---------------------------------------------------------------------------------mdx
《Microsoft sql Server 2008 MDX Step by Step》学习笔记
http://blog.csdn.net/downmoon/article/details/6539747
WITH member xxx as
( [Product].[Product Categories].[All],--[Product].[Product Categories].[All Products]
[Measures].[Internet Sales-Sales Amount] )
--/////////////////////////////////
--WITH member xxx as
--( [Measures].[Internet Sales-Sales Amount]
--,[Product].[Product Categories].[All] --[Product].[Product Categories].[All Products]
-- )
--跟未注释的结果一样。
--//////////////////////////
SELECT
--[Date].[Calendar Year].AllMembers ON COLUMNS,
xxx on columns,
[Product].[Model Name].Children ON ROWS
FROM [Analysis Services Tutorial]
等价于：
select [Product].[Model Name].&[All-Purpose Bike Stand] on columns,
[Measures].[Internet Sales-Sales Amount] on rows
FROM [Analysis Services Tutorial]
结果都为 ￥39,591.00
------------------------------------
SELECT
{[Date].[Calendar].[CY 2002]}
*
{[Measures].[Reseller Sales Amount]}
ON COLUMNS,--{[Product].[Subcategory].[Mountain Bikes]}*{[Product].[Color].&[Black]}
EXISTS (
{[Product].[Category].[Category].Members}
* {[Product].[Color].&[Black]},{([Product].[Subcategory].[Mountain Bikes])}
)
/*EXISTS (
{[Product].[Category].[Category].Members},{[Product].[Subcategory].[Mountain Bikes]}*{[Product].[Color].&[Black]})*/
ON ROWS
FROM [Step-by-Step]
where [Geography].[Country].[United States] --$6,314,977.53
--黑色的所有大类型商品(Bikes,Acessories,Clothing,Components,ikes&Acessories)
--列表中存在山地车的大类型
SELECT
{[Date].[Calendar].[CY 2002]}
*
{[Measures].[Reseller Sales Amount]}
ON COLUMNS,--{[Product].[Subcategory].[Mountain Bikes]}*{[Product].[Color].&[Black]}
{[Product].[Category].[Category].Members} * {[Product].[Color].&[Black]}
ON ROWS
FROM [Step-by-Step]
where [Geography].[Country].[United States]
/* CY 2002
Reseller Sales Amount
Accessories Black $16,302.48
Bikes Black $6,977.53
Clothing Black $170,716.23
Components Black $1,122,092.81*/
--黑色的大类商品(Bikes,ikes&Acessories)
SELECT
{[Date].[Calendar].[CY 2002]}
*
{[Measures].[Reseller Sales Amount]}
ON COLUMNS,--{[Product].[Subcategory].[Mountain Bikes]}*{[Product].[Color].&[Black]}
{[Product].[Subcategory].[Mountain Bikes]}*{[Product].[Color].&[Black]}
ON ROWS
FROM [Step-by-Step]
where [Geography].[Country].[United States] --$3,927,415.56
--黑色的山地车
----------------------------------
mdx 聚合函数http://
http://www.cnblogs.com/jianjialin/archive/2012/09/19/2694108.html
一个简单的MDX案例及说明
http://www.cnblogs.com/SmartBizSoft/archive/2008/11/27/1341913.html
--------------------------------aggregate函数的说明:
对于[Measures].[Reseller Order Count]这个度量值在设计的时候为下图所示：
WITH
MEMBER [Product].[Subcategory].[AGG|SUM] AS
AGGREGATE(
{[Product].[Subcategory].&[1],[Product].[Subcategory].&[12]},
([Measures].[Reseller Order Count])
)
SELECT
[Measures].[Reseller Order Count] ON COLUMNS,
{[Product].[Subcategory].&[1],[Product].[Subcategory].&[12]} +
([Product].[Subcategory].[AGG|SUM]) ON ROWS
FROM [Step-by-Step]
上面这个statement执行的结果为：
WITH
MEMBER [Product].[Subcategory].[AGG|SUM] AS
sum(
{[Product].[Subcategory].&[1],[Product].[Subcategory].&[12]}
,([Measures].[Reseller Order Count])
)
SELECT
[Measures].[Reseller Order Count] ON COLUMNS,[Product].[Subcategory].&[12]} +
([Product].[Subcategory].[AGG|SUM]) ON ROWS
FROM [Step-by-Step]
上面这个statement执行的结果为：
因为[Measures].[Reseller Order Count] 度量值是“非重复计数”。也就是count(distinct SalesOrderNumber)。
那么上面这个sum是直接将得到的结果相加。而aggregate是使用非重复计数进行计算整个sets（集）的。具体解释如下：
select count(distinct SalesOrderNumber)
from dbo.FactResellerSales
where ProductKey in
(288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,409,426,427,428,511,512,513,524,525,526,527,531,532,533,534,549,550,551)--860
select count(distinct SalesOrderNumber)
from dbo.FactResellerSales
where ProductKey in
(344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,587,588,589,590,591,592,593,594,595,596,597,598,599,600)--1215
select count(distinct SalesOrderNumber)
from dbo.FactResellerSales
where ProductKey in
(288,551
--)
,344,600)--1325
----------------------GENERATE ：
下面是返回“集”的解释；对于返回字符串的就不解释了，看MSDN文档就能够明白。
Set expression Syntax Generate( Set_Expression1,( Set_Expression2 [,ALL ] ) )使用 集表达式1的每一项对集表达式2进行执行。相当于：
for (int i=0;i<100;i++)
{
count<<i<<endl;
}
上面的“i” 相当于 “集表达式1”；“count<<i<<endl”相当于“集表达式2”。
如果“count<<i<<endl”变成“count<<123<<endl”的话就是空循环100次，输出100行“123”，就跟“i”没半毛钱关系。
----------------------------------------------------------------------------------------------------
使用asp.net访问 Analysis Services
http://forums.asp.net/t/1185897.aspx/1
http://www.codeproject.com/Articles/6562/Cubes-MDX-Analysis-Services-and-ADOMD-in-C
使用excel访问 Analysis Services
http://www.cnblogs.com/downmoon/archive/2011/06/02/2067519.html
---------------------------------------------Analysis Services 如何处理数据源的变更
http://database.51cto.com/art/201107/279661.htm
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