qr code vb.net free Here the Where clause has changed This time the slicer is asking for Internet Sales Amount in Microsoft Office

Encoder Code-128 in Microsoft Office Here the Where clause has changed This time the slicer is asking for Internet Sales Amount

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-- hello world 3/4 select from [Adventure Works] where [Measures][Internet Sales Amount]
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Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
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When you reference measures, you must precede the measure name with either Measures or [Measures] The use of square brackets is optional but is considered good practice because it shows your metadata clearly Note that Internet Sales Amount is entered as [Internet Sales Amount] The square brackets here are obligatory because of the spaces in the name Your answer is now $29,358,67722 the super grand total for Internet (not reseller) sales for all products and all dates and all customers and so on
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Hello World MDX Query 4/4
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No Where clause this time Instead, the Reseller Sales Amount is requested on the columns
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-- hello world 4/4 select [Measures][Reseller Sales Amount] on columns from [Adventure Works]
Result
Analysis
This probably looks a little better Now it s obvious that the measure in the result is indeed for reseller sales and not for Internet sales or for any other measure The important syntax change is the column specification that dictates what appears across the Columns axis of the result an MDX result is often called a cellset
Dimension Data on Columns
The previous query placed a measure across the columns By contrast, our query this time places dimension data from the Date dimension along the columns Strictly speaking, I should say non-measure dimension data As you will see later, [Measures] can be
C h a p t e r 1 : H e l l o W o r l d : E a s y Ye t E f f e c t i v e Q u e r i e s
considered a dimension as well This is a little confusing if you are new to MDX and you have a relational star schema where the dimension tables (which don t contain facts) are distinct from the fact table (which does contain the facts or the measures) A dimension is anything that can go on an axis The last query placed Reseller Sales Amount on an axis, thus [Measures] qualifies as a dimension too
Syntax
-- adding dimension data to columns select [Date][Calendar][Calendar Year] on columns from [Adventure Works]
Result
Analysis
[Date][Calendar][Calendar Year] is in the format [Dimension][Hierarchy][Level] We are asking for all of the calendar years Notice that CY 2005 is missing This means that CY 2005 simply does not exist within the dimension The cells have values for the default measure Reseller Sales Amount
More Than One
There is now a comma-separated list for the column specification The braces around the two entries are obligatory the query will fail without them The next chapter (over the course of a couple queries) shows just what they do
Syntax
-- and a total column select {[Date][Calendar][Calendar Year],[Date][Calendar]} on columns from [Adventure Works]
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
Result
Analysis
[Date][Calendar] is in the form [Dimension][Hierarchy] It s the very top of the hierarchy and is called All Periods It s the total (or aggregation) of the individual calendar years: $80,450,59698, which we met earlier The other figures (cells) add up to this total
Dimension Data on Rows
Let s exploit the second axis in our two-dimensional display It s the Rows axis Be aware that a comma (,) separates the column specification from the row specification
Syntax
-- adding dimension data to rows select {[Date][Calendar][Calendar Year],[Date][Calendar]} on columns, [Product][Product Categories][Category] on rows from [Adventure Works]
Result
Analysis
Two dimensions on two axes I imagine your cube (like Adventure Works) has rather more than two dimensions But we are limited to a two-axis display! Fortunately, two axes do not confine us to two dimensions (how good is your cosmology ) There is a very useful Crossjoin function in MDX that allows us to load (by nesting) more than one dimension on a single axis Two axes (Columns and Rows) do not limit us to only two dimensions! There is much more on Crossjoin discussed later in the book
C h a p t e r 1 : H e l l o W o r l d : E a s y Ye t E f f e c t i v e Q u e r i e s
A Total Row
Once again, the braces around the two entries for the rows specification are vital
Syntax
-- and a total row select {[Date][Calendar][Calendar Year],[Date][Calendar]} on columns, {[Product][Product Categories][Category],[Product][Product Categories]} on rows from [Adventure Works]
Result
Analysis
This is quite a cool query for so early in your MDX career Try doing that in SQL against a relational (normalized or even denormalized) database! You might recognize the cell, $80,450,59698, in the bottom-right corner
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