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Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
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-- crossjoin sorting example, breaking select [Measures][Internet Sales Amount] on columns, non empty order(crossjoin([Product][Category][Category], [Product][Subcategory][Subcategory]), [Measures][Internet Sales Amount],bdesc) on rows from [Adventure Works]
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That s it This is the last query in this chapter dedicated to sorting
5
Slice, Dice, and Filter: Using Where and Filter
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
ften, you will want only a subset of your dimension members and measure values This can be achieved by slicing and dicing with a Where clause An alternative approach involves using criteria with a Filter function The MDX Where clause is not the same as an SQL one Hopefully, by the end of the chapter you will be proficient at using it in MDX Key concepts Slicing on measures and attributes, ltering on measures and attributes, hiding empty cells, and top and bottom cells Keywords Where, Except, Filter, Or, And, Is, Not, Non Empty, Topcount, Bottomcount, Toppercent, Bottompercent, Topsum, Bottomsum
Where Clause
We have returned to a hello world query The second query includes an extra Where clause
Syntax
-- hello world again select from [Adventure Works] -- where slicer, same answer select from [Adventure Works] where [Measures][Reseller Sales Amount]
Result
Analysis
Both queries give the same answer By default, a query uses the default measure to populate the cells with values The Where clause allows you to slice the cube by a particular measure or dimension attribute or any reasonable combination of measures and/or attributes It adds extra coordinates to the query in addition to any coordinates specified as tuples on the Columns and the Rows axes It works to narrow down the results that would otherwise have been returned without it
5: Slice, Dice, and Filter : Using Where and Filter
Another Measure in a Where Clause
Here are two queries for you to try The first has a change to the measure in the Where clause The second projects the measure along the Columns axis
Syntax
-- different answer select from [Adventure Works] where [Measures][Internet Sales Amount] -- columns rather than where select [Measures][Internet Sales Amount] on columns from [Adventure Works]
Result
Analysis
The cell value from the two queries is the same However, the second one explicitly lists the measure member on the Columns axis A Where clause does not project the member onto an axis
Measure in a Where Clause and on an Axis
But let s try to do both These two queries are similar, except the second one uses two different measures
Syntax
-- slicer error select
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
[Measures][Internet Sales Amount] on columns from [Adventure Works] where [Measures][Internet Sales Amount] -- and again even with different measures select [Measures][Internet Sales Amount] on columns from [Adventure Works] where [Measures][Reseller Sales Amount]
Result
Analysis
And both produce the same error message You can t have a member (measure or attribute member) in both the Where clause and on an axis at the same time Incidentally, Axis0 means the Columns axis
Default Measure in a Where Clause
Try this query twice First, run the whole query Then, highlight everything except the Where clause and run the query again
Syntax
-- default measure as slicer, not needed select {[Product][Product Categories][Category],[Product][Product Categories]} on columns from [Adventure Works] where [Measures][Reseller Sales Amount]
5: Slice, Dice, and Filter : Using Where and Filter
Result
Analysis
It doesn t matter whether or not you include the Where clause when it contains only a default member (measure or attribute) The two queries have identical outcomes Notice the cell values before you attempt the ensuing query
A Non-measure Member in the Slicer
Here the slicer has the Canada member of the Customer dimension
Syntax
-- did Canada (customer) have all reseller sales select {[Product][Product Categories][Category],[Product] [Product Categories]} on columns from [Adventure Works] where [Customer][Customer Geography][Country][Canada]
Result
Analysis
Identical results to the previous query! But we put Canada into the slicer Does that mean that all our sales went there Canadians must be pretty good customers But not that good the results are wrong Customers are not related to Reseller Sales Amount (our default measure here) You will meet this problem if your cube has more than one measure group with differing dimensionalities We got the wrong dimension with the wrong measure This is quite important your reports may show incorrect figures You need to understand the Dimension Usage tab in your cube designer in BIDS In the case of Adventure Works, the Sales Territory dimension relates to Reseller Sales
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