FoodMart的15个mdx例子，绝对一一经过测试，保证正确
下面的内容经过完整的测试，结合了网上看到的其他文章，修改整理。
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测试环境如下：
windows 2003 sp2
mondrian-3.1.1.12687
jdk1.6
tomcat 5.5.23
LISTING 1: Determining Products Sold in Each State
说明：每个州（省）都在销售的产品
[en]
with set [SoldInUSA] as 'Filter([Product].[Brand Name].Members, Not IsEmpty( ([USA], [Unit Sales]) ))'
member [Measures].[SoldInState] as 'iif( IsEmpty(([Product].CurrentMember, [Unit Sales], [Customers].CurrentMember)), "No","Yes" )'
select [USA].children on COLUMNS,
[SoldInUSA] on ROWS
from Sales
where ([Measures].[SoldInState])
[cn]
with set [SoldInUSA] as 'Filter([Product].[Brand Name].Members, Not IsEmpty( ([美国], [Unit Sales]) ))'
member [Measures].[SoldInState] as 'iif( IsEmpty(([Product].CurrentMember, [Unit Sales], [Customers].CurrentMember)), "No","Yes" )'
select [美国].children on COLUMNS,
[SoldInUSA] on ROWS
from Sales
where ([Measures].[SoldInState])
LISTING 2: Determining Top 10 Product Categories
说明：列出销售额排名前十的产品类别
select {[Measures].[Unit Sales]} ON COLUMNS,
TopCount([Product].[Product Category].Members, 10.0, [Measures].[Unit Sales]) ON ROWS
from [Sales]
Listing_03.Determining Brands Sold During the Past Three Quarters.txt
说明：列出过去三个季度里都存在销售量的商品销售记录
[en]
with set [LastQuarter] as 'Tail(Filter([Time].[Quarter].Members, Not IsEmpty([Time].CurrentMember)),1)'
set [Last3Quarters] as ' [LastQuarter].item(0).item(0).Lag(2) : [LastQuarter].item(0).item(0)'
select [Last3Quarters] on COLUMNS,
Non Empty Union(Descendants( [Food], [Product].[Brand Name] ), Descendants( [Drink], [Product].[Brand Name] )) on ROWS
from Sales
[cn]
with set [LastQuarter] as 'Tail(Filter([Time].[Quarter].Members, Not IsEmpty([Time].CurrentMember)),1)'
set [Last3Quarters] as ' [LastQuarter].item(0).item(0).Lag(2) : [LastQuarter].item(0).item(0)'
select [Last3Quarters] on COLUMNS,
Non Empty Union(Descendants( [食品], [Product].[Brand Name] ), Descendants( [饮用类], [Product].[Brand Name] )) on ROWS
from Sales
Listing_04.Determining Recent Trends for Best-Selling Brands.txt
说明：查出最近6个月销售趋势最好的前10个商品及销售量
with set [TenBest] as 'TopCount( [Product].[Brand Name].Members, 10, [Unit Sales] )'
set [LastMonth] as 'Tail(Filter([Time].[Month].Members, Not IsEmpty([Time].CurrentMember)),1)'
set [Last6Months] as ' [LastMonth].item(0).item(0).Lag(6) : [LastMonth].item(0).item(0)'
select [Last6Months] on COLUMNS,
[TenBest] on ROWS
from Sales
Listing_05.Determining Brands that Make Up 80 Percent of Sales.txt
说明：找出组成销售额80%的商品销售及其记录
select {[Unit Sales]} on COLUMNS,
TopPercent([Product].[Brand Name].Members, 80, [Unit Sales]) on ROWS
from Sales
Listing_06.Determining Brands That Make Up the Bottom 20 Percent of Sales.txt
说明：按销售量排序，找出组成20%销售量的商品销售记录
select {[Unit Sales]} on COLUMNS,
Non Empty BottomPercent([Product].[Brand Name].Members, 20, [Unit Sales]) on ROWS
from Sales
Listing_07.Determining the Top Five Stores and the Top Five Customers.txt
说明：查出销售量最好的前5名店和每个店的前5个顾客 及其销售记录
select {[Unit Sales]} on COLUMNS,
Generate( TopCount([Store].[Store Name].Members, 5, [Unit Sales]),
{ [Store].CurrentMember } * TopCount( [Customers].[Name].Members, 5, ([Unit Sales],
[Store].CurrentMember) ) ) on ROWS
from Sales
Listing_08.Determining Two Top-Selling Products.txt
说明：查出每种产品大类 前2名 产品小类型号的销售记录，以及小类型号占大类的百分比
with member [Measures].[PercTotalSales] as
' Sum( TopCount([Product].CurrentMember.Children, 2, [Unit Sales]), [Unit Sales] )
/([Product].CurrentMember, [Unit Sales])',
FORMAT_STRING = '##.0%'
select [Store].[(All)].Members on COLUMNS,
Generate( [Product].[Brand Name].Members,
Union(
TopCount( [Product].CurrentMember.Children, 2, [Unit Sales] ) * {[Unit Sales]},
{ ([Product].CurrentMember, [Measures].[PercTotalSales]) }
)
) on ROWS
from Sales
===============================
Listing_09.Highlighting Products in the Bottom 10 Percent.txt
说明：查出4个季度中，每个时期销售量在后10%的产品销售量，并显示为粗体
with set [LastQuarter] as 'Tail(Filter([Time].[Quarter].Members, Not
IsEmpty([Time].CurrentMember)))'
set [Last4Quarters] as ' [LastQuarter].item(0).item(0).Lag(3) : [LastQuarter].item(0).item(0)'
member [Measures].[HLUnit Sales] as '[Unit Sales]',
FONT_FLAGS = 'iif( Count(
Intersect( BottomPercent( [Product].[Brand Name].Members, 10, ([Unit Sales]) ),
{[Product].CurrentMember})
) = 0, 0, 1)'
select [Last4Quarters] on COLUMNS,
[Product].[Brand Name].Members on ROWS
from Sales
where ([Measures].[HLUnit Sales])
cell properties VALUE, FORMATTED_VALUE, FONT_FLAGS
Listing_10.Comparing Sales with Those of Parallel Months.txt
说明：比较具有相同相对位置的时间点的销售量，例如今年7月和去年7月；
with set [PromoMonths] as 'Filter([Time].[Month].Members, Not IsEmpty( ([Unit Sales], [Double Your Savings]) ) )'
set [PromoRange] as 'Head( [PromoMonths] ).item(0).item(0) : Tail( [PromoMonths] ).item(0).item(0)'
member [Measures].[Uplift] as '([Unit Sales], [Double Your Savings])'
member [Measures].[This Quarter] as '[Unit Sales]'
member [Measures].[Last Quarter] as '( ParallelPeriod( [Time].[Quarter] ), [Unit Sales] )'
member [Measures].[Growth] as ' [Measures].[This Quarter] - [Measures].[Last Quarter]'
select [PromoRange] on Columns,
{ [Measures].[This Quarter], [Measures].[Last Quarter], [Measures].[Growth], [Measures].[Uplift] } on Rows
from [Sales]
Listing_11.Determining Sales That Exceed Store Cost by 160 Percent.txt
说明：查出利润率在16%以上的产品及销售记录
with member [Measures].[SalesRatio] as '([Store Sales] - [Store Cost]) / [Store Cost]',
FORMAT_STRING = '##%'
select { [Store Sales], [Store Cost], [Measures].[SalesRatio] } on COLUMNS,
Filter( [Product].[Brand Name].Members, [Measures].[SalesRatio] > 1.60 ) on ROWS
from Sales
Listing_12.Determining Brands that Have Grown by More Than 50 Percent.txt
说明：找出最近一季度比前一季度销售量增长幅度大于50%的产品销售记录
with set [LastQuarter] as 'Tail(Filter([Time].[Quarter].Members, Not
IsEmpty([Time].CurrentMember)))'
member [Measures].[CurrQSales] as '([LastQuarter].item(0).item(0), [Unit Sales])'
member [Measures].[PrevQSales] as '([LastQuarter].item(0).item(0).PrevMember, [Unit Sales])'
member [Measures].[Growth] as ' ([Measures].[CurrQSales] - [Measures].[PrevQSales]) / [Measures].[PrevQSales]',
FORMAT_STRING='##%'
select { [Measures].[PrevQSales], [Measures].[CurrQSales], [Measures].[Growth] } on COLUMNS,
Filter( [Product].[Brand Name].Members, [Measures].[Growth] > 0.5 ) on ROWS
from Sales
Listing_13.Determing the Top 10 and Bottom 10 Product Brands.txt
说明：找出销售额在前、后10名的产品销售记录，并列出总排名，就是找出销售情况最好和最坏的产品
with set [OrderedBrands] as 'Order( [Product].[Brand Name].Members, [Unit Sales], BDESC )'
member [Measures].[Brand Rank] as 'Rank( [Product].CurrentMember, [OrderedBrands] )'
select {[Measures].[Brand Rank], [Unit Sales]} on COLUMNS,
Union( Head( [OrderedBrands], 10 ), Tail( [OrderedBrands], 10 ) ) on ROWS
from Sales
Listing_14.Comparing Product Trends.txt
说明：比较一下产品销售趋势，没什么用
with set [LastQuarter] as 'Tail(Filter([Time].[Quarter].Members, Not
IsEmpty([Time].CurrentMember)))'
set [Last4Quarters] as ' [LastQuarter].item(0).item(0).Lag(3) : [LastQuarter].item(0).item(0)'
member [Measures].[GroupAvg] as 'Avg([Product].CurrentMember.Siblings, [Unit Sales])'
member [Measures].[AllAvg] as 'Avg( [Product].[Product Name].Members, [Unit Sales])'
select [Last4Quarters] on COLUMNS,
{ [Unit Sales], [Measures].[GroupAvg], [Measures].[AllAvg] } on ROWS
from Sales
/*where ([Ebony Plums])*/
Listing_15.Determining the Top 10 Middle-Tier Brands.txt
说明：查出一定条件下的前10名产品的销售记录，例如销售量在500到3000之间的
with set [LastQuarter] as 'Tail(Filter([Time].[Quarter].Members, Not
IsEmpty([Time].CurrentMember)))'
set [Last4Quarters] as ' [LastQuarter].item(0).item(0).Lag(3) : [LastQuarter].item(0).item(0)'
member [Measures].[GroupAvg] as 'Avg([Product].CurrentMember.Siblings, [Unit Sales])'
member [Measures].[AllAvg] as 'Avg( [Product].[Product Name].Members, [Unit Sales])'
member [measures].[abc] as '[Product].CurrentMember.uniquename'
select [Last4Quarters] on COLUMNS,
{ [Unit Sales], [measures].[GroupAvg], [measures].[AllAvg],[measures].[abc] } on ROWS
from Sales
/*where ([Ebony Plums])*/
文章标题：FoodMart的15个mdx例子，绝对一一经过测试，保证正确
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