【转】 foodmart的15个mdx例子【2】

LISTING 1: Determining Products Sold in Each State 

说明： 

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]) 



LISTING 2: Determining Top 10 Product Categories 

说明： 

select {[Unit Sales]} on COLUMNS, 

TopCount( [Product].[Product Category].Members, 10, ([Unit Sales]) ) on ROWS 

from Sales

 

 

Listing_03.Determining Brands Sold During the Past Three Quarters.txt  

说明：在过去三个季度里都存在销售量的商品销售记录   

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 





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 ([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 ' [This Quarter] - [Last Quarter]' 

select [PromoRange] on Columns, 

{ [This Quarter], [Last Quarter], [Growth], [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], [SalesRatio] } on COLUMNS, 

Filter( [Product].[Brand Name].Members, [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 ' ([CurrQSales] - [PrevQSales]) / [PrevQSales]',  

FORMAT_STRING='##%' 

select { [PrevQSales], [CurrQSales], [Growth] } on COLUMNS, 

Filter( [Product].[Brand Name].Members, [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 {[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], [GroupAvg], [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], [GroupAvg], [AllAvg],[measures].[abc] } on ROWS 

from Sales 

where ([Ebony Plums]) 







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' 

member [measures].[abcd] as 'lookupcube("Trained Cube","MemberToStr([Customers].[All Customers].[Canada])")' 

select [Last4Quarters] on COLUMNS, 

{ [Unit Sales], [GroupAvg], [AllAvg],[measures].[abc] ,[measures].[abcd] } on ROWS 

from Sales 

where ([Ebony Plums])