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Create Member works alone The Select works alone (after the Create), and you can run it more than once Note you can t run the Create and the Select at the same time (unless you place a Go statement just before the Select) The Drop Member removes the session-scoped calculated measure You should run the three Drop Member commands individually If you try to run all three together, you will receive an error message (unless you place a Go statement before the second and third ones) After you drop the member/measure, the Select will fail One very important point to make: When you employ Create Member and Drop Member, you must provide the name of the cube ([Adventure Works][Measures][Retailer Sales]) Without the cube name
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6: Using the Abacus: Introduction to Calculations
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first, both Create Member and Drop Member will fail But, don t use the cube name in the Select because you will get an error Instead, simply use [Measures][Retailer Sales]
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Some Classic Calculated Measures
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Some calculated measures are implemented over and over again in many organizations I have called these the classic calculated measures, and they include Percentage of Parent and Percentage of All The query on this page serves as a starting point for investigating a couple of the classics
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-- starting point for some classic calculated measure select [Measures][Reseller Sales Amount] on columns, {[Product][Product Categories][Subcategory][Mountain Bikes], [Product][Product Categories][Category][Bikes], [Product][Product Categories]} on rows from [Adventure Works]
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Analysis
The result shows members from three levels of the Product Categories user hierarchy Mountain Bikes is a subcategory It belongs to the Bikes category, which, in turn, belongs to the All level member (All Products) We have three generations in the result
Percentage of Parent 1/2
This is a Percentage of Parent query If you feel inclined to try it out, you will only be partially successful With the subsequent query, however, you will be completely successful
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
Syntax
-- percentage of parent with member [Measures][% of parent] as [Measures][Reseller Sales Amount]/([Product][Product Categories] currentmemberparent,[Measures] [Reseller Sales Amount]),format_string="Percent" select {[Measures][Reseller Sales Amount],[Measures][% of parent]} on columns, {[Product][Product Categories][Subcategory][Mountain Bikes], [Product][Product Categories][Category][Bikes], [Product][Product Categories]} on rows from [Adventure Works]
Result
Analysis
Mountain Bikes accounts for 3996% of the total sales for Bikes Bikes represents 8241% of the total reseller sales for all products Unfortunately, the corresponding cell for All Products doesn t look very nice In fact, the value in the cell represents infinity The current member is All Products The parent of that member does not exist You can t climb any higher than the All level at the top of a hierarchy So the sales for the nonexisting parent of All Products are null SSAS converts the null to zero A division by zero returns infinity We need to make this look a little better
Percentage of Parent 2/2
Hopefully, this result is more pleasing The All Products cell now shows 100% Note the use of the level and ordinal property functions
Syntax
-- percentage of parent without error with member [Measures][% of parent] as
6: Using the Abacus: Introduction to Calculations
case when [Product][Product Categories]currentmemberlevelordinal = 0 then 1 else [Measures][Reseller Sales Amount]/([Product][Product Categories] currentmemberparent,[Measures][Reseller Sales Amount]) end, format_string="Percent" select {[Measures][Reseller Sales Amount],[Measures][% of parent]} on columns, {[Product][Product Categories][Subcategory][Mountain Bikes], [Product][Product Categories][Category][Bikes], [Product][Product Categories]} on rows from [Adventure Works]
Result
Analysis
Now the answer is more reasonable The Case construct tests to see if we are at the top of the hierarchy If so, it returns 1 and the formatting converts this into 100% The level function returns the level of a member The ordinal function then returns the level as a number The All level has an ordinal number of 0 (it is a zero-based index) The sales of All Products are 100% of the sales of All Products, which is perfectly sensible
Percentage of All
Here s a subtle but important difference from the previous two queries Here you see how to work out the percentage of the All level
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