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MDX with Microsoft SQL Server 2016 Analysis Services Cookbook

You're reading from   MDX with Microsoft SQL Server 2016 Analysis Services Cookbook Over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781786460998
Length 586 pages
Edition 3rd Edition
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Authors (2):
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Tomislav Piasevoli Tomislav Piasevoli
Author Profile Icon Tomislav Piasevoli
Tomislav Piasevoli
Sherry Li Sherry Li
Author Profile Icon Sherry Li
Sherry Li
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Toc

Table of Contents (11) Chapters Close

Preface 1. Elementary MDX Techniques FREE CHAPTER 2. Working with Sets 3. Working with Time 4. Concise Reporting 5. Navigation 6. MDX for Reporting 7. Business Analyses 8. When MDX is Not Enough 9. Metadata - Driven Calculations 10. On the Edge

Implementing the logical OR on members from different hierarchies

If we need to slice the data by only the black color for products, we would put the Black member in the WHERE clause, like this:

WHERE 
   ( [Product].[Color].&[Black] ) 

In the Adventure Works DW 2016 database, by putting Reseller Order Quantity and Reseller Order Count on the columns, we would get this result:

Implementing the logical OR on members from different hierarchies

Similarly, to get only the products whose size is XL, we can put the member XL in the slicer as:

WHERE 
   ( [Product].[Size Range].&[XL] ) 

What if we want to get the products whose size is XL in the same result set as the result set for black only?

Somehow, we need to combine the black member with the XL member. Simply by putting these two members together, it would not work. Putting two members from different hierarchies would form a tuple; a tuple implies the logical AND in MDX, not the logical OR.

On the other hand, MDX implies a logical OR. However, we cannot simply put the preceding two members together...

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