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Hopefully, by this stage of the book, this query is a revision for you!
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Non-measure Dimension Member Aliases
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You can also alias members of non-measure dimensions if you wish
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-- aliases for dimension members with member [Product][Product Categories][Cycles] as [Product][Product Categories][Category][Bikes] select [Product][Product Categories][Cycles] on columns from [Adventure Works]
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We have changed Bikes to Cycles This is a calculated member; it is not a calculated measure The syntax is [Dimension][Hierarchy][name]
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DrillDownMember
DrillDownMember is an often-overlooked but very handy function
Syntax
-- drilldownmember with member [Measures][Level in Hierarchy] as [Customer][Customer Geography]currentmemberlevelordinal select
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
{[Measures][Customer Count],[Measures][Level in Hierarchy]} on columns, nonempty (drilldownmember( {[Customer][Customer Geography][Country][United States]}, {[Customer][Customer Geography][Country][United States], [Customer][Customer Geography][State-Province][California]},recursive), [Measures][Customer Count]) on rows from [Adventure Works]
Result
Analysis
Not the easiest syntax in the book! This one requires a little bit of practice It might be worth it It allows us to see the children of California right next to California and not further down the rows In order to help you decipher the result, I ve also shown the level of each row entry with currentmemberlevelordinal DrillDownMember accepts either two or three parameters In the example, it compares the members of the first and second sets (the first and second parameters) and drills down on members that are common to both sets here it s United States If the third Recursive parameter (which is optional) is included, it compares the result set from the first two parameters once more against the second set and drills down on members that are common to both here it s California
Drillthrough 1/2
When you look at the values of cells in a cellset, they may be aggregated Drillthrough (as opposed to drilldown) lets you break the aggregation apart into the individual records that comprise the aggregation This is a base query for the next query
C h a p t e r 1 3 : H o d g e p o d g e : A C h a p t e r o f M i s c e l l a n e o u s Te c h n i q u e s
Syntax
-- drillthrough 1/2 -- 409909 select [Measures][Internet Sales Amount] on columns from [Adventure Works] where ([Product][Product Categories][Category][Bikes], [Customer][Customer Geography][Country][United States], [Date][Calendar][Date][July 1, 2001])
Result
Analysis
Internet sales of bikes in the United States on July 1, 2001, were $4,09909 but for which bike(s) and for which customer(s)
Drillthrough 2/2
Let s try a drillthrough query
Syntax
-- drillthrough 2/2 -- 339999 and 6990982 drillthrough maxrows 100 select [Measures][Internet Sales Amount] on columns from [Adventure Works] where ([Product][Product Categories][Category][Bikes], [Customer][Customer Geography][Country][United States], [Date][Calendar][Date][July 1, 2001]) return [$Product][Product],Key([$Product][Product]), [$Date][Date],[$Measures][Internet Sales Amount],[$Customer][Customer], [$Customer][State-Province],[$Customer][City]
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
Result
Analysis
A single aggregation has been decomposed into two records The value of the sales are 339999 and 6990982, which give us the total in the previous query (aside from a bit of rounding) So, two customers (from Oregon and California) bought a bike each on July 1, 2001 The $ prefix is used to refer to a dimension (including the Measures dimension) The Key function is used to return the key value of a member Additional functions include Name and MemberValue, which you may like to try (in our example they make little difference to the result)
14
After You Finish
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
Where to Use MDX
Throughout this book, you ve been using SSMS to write your MDX queries and display the results It s unlikely that your users will have SSMS indeed, it s not recommended for end users because it s simply too powerful and potentially dangerous This chapter presents some alternative software and methods for getting MDX query results to the end user
SSRS
SSRS can generate simple MDX for you, but you may want some of the more sophisticated queries you ve seen in this book You will need an SSAS connection to do this To use your own MDX, click the Design Mode button on the toolbar while in Query Designer in SSRS You are then able to paste in the code you might have developed in SSMS Here s an example:
Select [Date][Calendar][Calendar Year] on columns, [Product][Product Categories][Category] on rows from [Adventure Works] where [Measures][Reseller Sales Amount]
Unfortunately, SSRS will generate an error It only likes measures on columns So you have to put the measure on the columns and crossjoin the other dimensions on the rows Here s the same code adapted to work with SSRS:
Select [Measures][Reseller Sales Amount] on columns, crossjoin([Date][Calendar][Calendar Year], [Product][Product Categories][Category]) on rows from [Adventure Works]
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