vb.net barcode reader sdk A Basic MDX Query in Microsoft Office

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A Basic MDX Query
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select [Date][Calendar][Calendar Year] on columns from [Adventure Works] select {[Date][Calendar][Calendar Year]members} on columns from [Adventure Works]
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In this example, you have two versions of the same query The first is informal syntax, and the second is more formal, which many consider to be better practice There is no measure in this query Therefore, it uses the default measure for the cube, Reseller Sales Amount The resulting cellset looks great in SSMS, but not in PowerPivot The years are returned as column headers, not as part of the data in the PowerPivot table It would be nice to see the years in the rows, not as column headers Column headers are metadata, and rows are data This is a common problem when importing via an MDX query The solution is not to place non-measure dimension members on the Columns axis of the MDX query (see the next query) The resulting table is shown in Figure B-2 Having non-measure dimensions on the Columns axis is not allowed in the MDX graphical query designer in PowerPivot There is a Design button in the Specify a MDX Query dialog This opens the graphical designer, where you can click on the last button on the toolbar (Design Mode) to switch to text mode If you paste in this query, and try to execute the query, you receive an error message indicating that the designer
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Figure B-2
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PowerPivot table
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Appendix B: MDX Queries for PowerPivot
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Figure B-3
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Error message
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only supports measures on columns The error message is shown in Figure B-3 It s probably better not to do this, unless you decide not to use the graphical query designer! But the error is a sensible one non-measure dimensions on columns don t look good in PowerPivot, and they are of limited use in a pivot table The next query is much better
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A Basic MDX Query Rewritten to Give Better Results
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select {[Measures][Reseller Sales Amount]} on columns, {[Date][Calendar][Calendar Year]members} on rows from [Adventure Works]
This is a far nicer query It looks better as a PowerPivot table and will make a subsequent pivot table more meaningful The non-measure dimension (Date) has been placed on the Rows axis The default measure is made explicit and placed on the Columns axis The resulting table is shown in Figure B-4
Figure B-4
PowerPivot table
Prac tical PowerPivot & DAX Formulas for Excel 2010
Figure B-5
PowerPivot table
Adding Another Dimension
select {[Date][Calendar][Calendar Year]members} on columns, {[Product][Product Categories][Category]members} on rows from [Adventure Works]
This query sees the addition of a second non-measure dimension (Product) Once again, it doesn t look satisfactory as a PowerPivot table The resulting table is shown in Figure B-5
Adding Another Dimension Rewritten to Give Better Results
select {[Measures][Reseller Sales Amount]} on columns, {crossjoin( {[Date][Calendar][Calendar Year]members}, {[Product][Product Categories][Category]members} )} on rows from [Adventure Works]
Here we have the same query but rewritten to produce sensible results for PowerPivot When you have more than one non-measure dimension, it s a good idea to place them both on the Rows axis and only have a measure or measures on the Columns axis To place two dimensions on the same axis, you can use the MDX Crossjoin() function as here The resulting table is shown in Figure B-6 You may see an alternative syntax that uses the asterisk (*) or multiplication symbol, instead of explicitly using the Crossjoin() function Indeed, this is the syntax generated by the graphical query designer
Crossjoin() Query
Select {[Measures][Internet Sales Amount], [Measures][Reseller Sales Amount]} on columns, {crossjoin( {[Date][Calendar][Calendar Year]members}, {[Date][Month of Year][Month of Year]members} )} on rows from [Adventure Works]
Appendix B: MDX Queries for PowerPivot
Figure B-6
PowerPivot table
You can even have different attributes from the same dimension in a Crossjoin() There is one proviso; they must be from different hierarchies in the dimension here the Calendar (for SSAS veterans, it s a user hierarchy) and the Month of Year (this is an attribute hierarchy) hierarchies are used The resulting table is shown in Figure B-7
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