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Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
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Two Dimensions on Two Axes
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Now let s get some practice putting two dimensions on two axes Strictly speaking, we should say putting two non-measure dimensions on two axes The Date dimension is on the Columns axis, and the Product dimension is on the Rows axis
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-- 2 different non-measure dimensions on 2 axes select [Date][Calendar][Calendar Year] on columns, [Product][Product Categories][Category] on rows from [Adventure Works] -- and again select [Product][Product Categories][Category] on columns, [Date][Calendar][Calendar Year] on rows from [Adventure Works]
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Here we have two ways of looking at the same cells The effect is achieved simply by transposing (or pivoting, hence the name pivot table) the sets on the two axes
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2: Astrophysical: Playing with Dimensions
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Incidentally, many end users prefer to see dates on columns rather than on rows, so maybe the first query looks a little better
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Same Non-measure Dimension on Two Axes
Quite a common request is to see monthly figures compared from year to year, with the Years on the Columns axis and the Months on the Rows axis You might be tempted to try a query like the following
Syntax
-- same non-measure dimension on 2 axes select [Date][Calendar][Calendar Year] on columns, [Date][Calendar][Month] on rows from [Adventure Works]
Result
Analysis
Unfortunately, it simply doesn t work You can t have the same hierarchy from the same dimension on more than one axis Fortunately, the next query has a solution
Same Non-measure Dimension on Two Axes with Differing Hierarchies
Here is the correct way to solve this situation This time there is no error message, and we are displaying useful intelligence to the end user
Syntax
-- comparing months across years select [Date][Calendar][Calendar Year]
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
on columns, [Date][Month of Year][Month of Year] on rows from [Adventure Works]
Result
Analysis
The resultant screenshot depicts the 12 months of the year, but only shows a sample of the years Note, for example, how easy it is to compare December CY 2001 to December CY 2002
Years and Months on the Same Axis
Maybe you don t want years and months on two axes Maybe you prefer years and months on the same axis Here are two attempts
Syntax
-- months by year again, different hierarchies select [Measures][Internet Sales Amount] on columns, {[Date][Calendar][Calendar Year],[Date][Month of Year][Month of Year]} on rows from [Adventure Works] -- months by year again, same hierarchy select [Measures][Internet Sales Amount]
2: Astrophysical: Playing with Dimensions
on columns, {[Date][Calendar][Calendar Year],[Date][Calendar][Month]} on rows from [Adventure Works]
Result
Analysis
The first query returns an error because we are trying to use two different hierarchies from the same dimension on the same axis In the second query, the same hierarchy is used twice, albeit at two different levels It works, but just barely However, the separation of the years from the months makes the result difficult to read There must be a better way
Years and Months on the Same Axis with a Crossjoin
All things are possible in MDX (well, mostly) Enter what is one of the most popular techniques in MDX the crossjoin This is a very powerful feature, so it makes sense to understand how (and how not) to use it
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
Syntax
-- crossjoin working select [Measures][Internet Sales Amount] on columns, crossjoin([Date][Calendar][Calendar Year], [Date][Month of Year][Month of Year]) on rows from [Adventure Works] -- crossjoin not working select [Measures][Internet Sales Amount] on columns, crossjoin([Date][Calendar][Calendar Year],[Date][Calendar][Month]) on rows from [Adventure Works]
Result
Analysis
Crossjoin is a function More specifically, it is a method function Property functions such as members use the dot notation and follow the object (for example, a level) Method functions precede the object (for example, a set of members)
2: Astrophysical: Playing with Dimensions
The first try at Crossjoin proved successful The second attempt produced an error There is a fundamental rule about Crossjoin: If you crossjoin two sets of members from the same dimension, the two sets must be based on different hierarchies within the same dimension You can even crossjoin two different dimensions
Introducing a Second Measure into the Crossjoin
The Crossjoin query is getting more interesting
Syntax
-- adding another measure select {[Measures][Internet Sales Amount],[Measures][Reseller Sales Amount]} on columns, crossjoin([Date][Calendar][Calendar Year], [Date][Month of Year][Month of Year]) on rows from [Adventure Works]
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