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Here we have one of the most common types of MDX queries Although it requires more work, it is beginning to look like business intelligence It makes sense to a business user, hopefully You need to see the categories One of the easiest ways of doing this is to use the members property function against a level The following query is asking for the members of the Category level of the Category hierarchy of the Product dimension
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-- specifying members for a level select
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2: Astrophysical: Playing with Dimensions
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[Product][Category][Category]members -- dimensionhierarchylevelmembers on columns from [Adventure Works]
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[Product] is a dimension [Product][Category] is a hierarchy [Product][Category] [Category] is a level [Product][Category][Category]members then returns the members (for example, Accessories and Bikes) of the level Note the absence of All Products this time If you are completely new to MDX, then references such as [Product][Product] [Product] can appear a little strange at first But, if you understand the rules, it becomes somewhat clearer [Product][Product][Product] means (reading from right to left) the Product level of the Product hierarchy in the Product dimension
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The following two queries combine two levels on the Columns axis Try running them individually The first query will produce an error The second query will return some cells
Syntax
-- 2 levels together select [Product][Category][Category]members,[Product][Category][All Products] on columns from [Adventure Works] -- 2 levels together with {} select {[Product][Category][Category]members,[Product][Category] [All Products]} on columns from [Adventure Works]
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
Result
Analysis
The result of the first query is a very common error message in MDX To fully understand it, you need to come to grips with some multidimensional concepts If you prefer not to do so at this stage, simply try the second query with the addition of the { and } delimiters around the Columns axis specification The { and the } delimiters are known variously as braces, French braces, curly brackets, or often simply and informally as squiggly brackets or squiggles I guess it depends to some extent on which part of the English-speaking world you live in The second query is quite a useful one It shows each category and then the total for the four categories You saw similar results in an earlier query, using [Product][Category] members, but this one is more flexible For example, we can position the All Products member after the individual categories Why the delimiters If you are not interested in the theory, then by all means move on If you do, it is strongly recommended that you return later to this paragraph A member (of a level/hierarchy/dimension) defines a space within the overall cube space It points to one or more cells containing one or more measures In other words, it acts as a coordinate When a member acts as a coordinate, it is referred to as a tuple (pronounce that how you will!) It is one-dimensional In a multidimensional cube, you also need the coordinates or tuples of all the dimensions to exactly specify a particular cell containing data In addition, if each cell contains more than one measure, it is also necessary to specify which measure so a cell in the query result shows one and only one number Consider the Bikes member It is fairly clear that the cell returned is for Bikes! What is not obvious is for which measure In our case, because no measure is specified, it uses the default member for the cube, Reseller Sales Amount Reseller Sales Amount is also a member It is a member of Measures Thus, a measure is also a member and a coordinate and a tuple But, for which year are the sales After all, no dates are mentioned in the query When a dimension is not explicitly referenced, the default member is used as an invisible tuple This applies to all of the dimensions related to a particular measure Thus, the figure for Bikes is for all time, for all resellers, for all employees, for all promotions, and so on, and so forth The specification on the Columns axis has two tuples the first referring to the categories and the second referring to All Products A specification of an
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