Unlocking the

Mystery of MDX

Bryan Smith

brysmi@microsoft.com

Obj tiObjectives

E l i h d l b hi d MDXExplain the model behind MDX

Explore lessons learned

Th i d i i d i thiThe views and opinions expressed in this ....

(3)

1 2 3 4-1-2-3-4x

0

y

(3, 2)34

12

1 2 3 4-1-2-3-4x

-2-3

-4

y

(3, 2, 4)34

12

-2-3 1 2 3 4-1-4x

z-2

-3-4

(x) singleone-dimensional

(x, y) doubletwo-dimensional

( ) i lh di i l (x, y, z) triplethree-dimensional

four-dimensional (x, y, z, ?) quadruple

(a1, a2, a3, a4)

( ) d lf di i l (a1, a2, a3, a4) quadruplefour-dimensional

(a1, a2, a3, a4, a5) quintuplefive-dimensional

(a1, a2, a3, a4, a5, a6) sextuplesix-dimensional

(a a a a a a a a ) octupleeight-dimensional

(a1, a2, a3, a4, a5, a6, a7) septupleseven-dimensional

(a1, a2, a3, a4, a5, a6, a7, a8) octupleeight dimensional

(a a a a ) quadruplefour dimensional (a1, a2, a3, a4) quadruplefour-dimensional

(a1, a2, a3, a4, a5) quintuplefive-dimensional

(a1, a2, a3, a4, a5, a6) sextuplesix-dimensional

(a a a a a a a a ) octupleeight-dimensional

(a1, a2, a3, a4, a5, a6, a7) septupleseven-dimensional

(a1, a2, a3, a4, a5, a6, a7, a8) octupleeight dimensional

(a1, a2, … an) tuplen-dimensional

My Simple Cube

Measure Group

MeasureΣΣ

Dimension

Attribute

My Simple Cube

Reseller Sales Internet Sales

Reseller Sales AmountΣΣ Internet Sales AmountΣΣ6

Date

Fiscal Year

Product

Category

Geography

Country1 3 5Fiscal Year

Calendar Year

Category

Subcategory

Country1 3

2 4

5

P d tProduct

Category

All Products

Accessories Bikes Clothing Components

P d tProduct

Category

([Bikes])[Product].[Category]

([Bikes])

Bike

Clo CAAl es othing

Com

ponents

Accessories

ll Products

(

a1,

a2,

(

[Date].[Calendar Year].[CY 2002],

[Date].[Fiscal Year].[All Periods],

(

[CY 2002],

[All Periods],

a3,

a4,

a5,

a6

[Product].[Category].[Bikes],

[Product].[Subcategory].[All Products],

[Geography].[Country].[All Geographies],

[Measures].[Reseller Sales Amount]

[Bikes],

[All Products],

[All Geographies],

[Reseller Sales Amount]

) )

(

)

(

[Geography].[Country].[All Geographies],

[Product].[Category].[Bikes],

[Measures].[Reseller Sales Amount],

[Date].[Fiscal Year].[All Periods],[ ] [ ] [ ]

[Product].[Subcategory].[All Products],

[Date].[Calendar Year].[CY 2002]

)

(

[Date].[Calendar Year].[CY 2002],

[Date].[Fiscal Year].[All Periods],(

[D ] [C l d Y ] [CY ] [ ] [ ] [ ],

[Product].[Category].[Bikes]

[Product].[Subcategory].[All Products],

[Geography].[Country].[All Geographies],

[Measures].[Reseller Sales Amount]

)

[Date].[Calendar Year].[CY 2002],

[Product].[Category].[Bikes]

)

)

Rule 3

First Member

Rule 2

(All) Member

Rule 1

Default Member

Attributes Partial

Tuple

Completed

Tuple

All Periods

All Products

Date.Calendar Year CY 2002

Date.Fiscal Year

Product.Category Bikes

Product.Subcategory

CY 2002

All Periods

Bikes

All Products

All Geographies

Reseller Sales Amount

Geography.Country

Measures

All Geographies

Reseller Sales Amount

SELECT

[Date].[Calendar Year].Members ON COLUMNS,

[Product].[Category].Members ON ROWS

FROM [My Simple Cube]

All Periods CY 2001 CY 2002 CY 2003 CY 2004

All Products $80,450,597 $8,065,435 $24,144,430 $32,202,669 $16,038,063

Accessories $571,298 $20,235 $92,735 $296,533 $161,794

Bikes $66,302,382 $7,395,349 $19,956,015 $25,551,775 $13,399,243

Clothing $1,777,840 $34,376 $485,587 $871,864 $386,013

Components $11,799,077 $34,376 $3,610,092 $5,482,497 $2,091,012

SELECT

[D ] [C l d Y ] M b ON COLUMNS

MDX

[Date].[Calendar Year].Members ON COLUMNS,

[Product].[Category].Members ON ROWS

FROM [My Simple Cube]

SELECT

SQL

e.CalendarYear,

d.EnglishProductCategoryName,

SUM(a.SalesAmount)

FROM FactResellerSales a

INNER JOIN DimProduct b

d b dON a.ProductKey=b.ProductKey

INNER JOIN DimProductSubcategory c

ON b.ProductSubcategoryKey=c.ProductSubcategoryKey

INNER JOIN DimProductCategory d

ON c.ProductCategoryKey=d.ProductCategoryKey

INNER JOIN DimDate eINNER JOIN DimDate e

ON a.OrderDateKey=e.DateKey

GROUP BY

e.CalendarYear,

d.EnglishProductCategoryName

WITH MEMBER [Measures].[Total Sales Amount] AS

[M ] [I S l A ] [M ] [R ll S l A ]

MDX

[Measures].[Internet Sales Amount] + [Measures].[Reseller Sales Amount]

SET [Top 10 Products of 2003] AS

TOPCOUNT(

[Product].[Product].[Product].Members, 10,

([Measures].[Total Sales Amount], [Date].[Calendar Year].[CY 2003])

)

SELECT

[Measures].[Total Sales Amount] ON COLUMNS,

[Top 10 Products of 2003] ON ROWS

SELECT

FROM [Step-by-Step]

WHERE ([Date].[Calendar Year].[CY 2004])

SQL

m.EnglishProductName,

o.TotalSalesAmount

FROM dbo.DimProduct m

INNER JOIN ( -- TOP 10 PRODUCTS OF 2003

SELECT TOP 10

d ( l ) l la.ProductKey, SUM(a.SalesAmount) AS TotalSalesAmount

FROM (

SELECT

x.productkey, x.salesamount

FROM dbo.FactInternetSales x

INNER JOIN dbo.DimDate yINNER JOIN dbo.DimDate y

ON x.OrderDateKey=y.DateKey

WHERE y.CalendarYear=2003

UNION ALL

SELECT

x.productkey, x.salesamount

L L dLessons Learned

Cl l d fi diClearly define audience

Align technology with audience

Actively engage audience

Thank You!brysmi@microsoft.com