MDX query with dimension attribute between two values and another dimension attribute equal to another value

Question

I'm trying to build a query that selects the Top 10 products (with most likes) made by users with age between 1 and 20 years old, at the year 2014. I'm trying to use the following query:

WITH SET [TopProducts] AS TOPCOUNT([Products].[Name].Members,10,[Measures].[Likes])
SELECT {[Measures].[Likes]}
ON COLUMNS, {[TopProducts]}
ON ROWS FROM [Likes]
WHERE (
  {[Ages].[Age].[1]:[Ages].[Age].[24]},
  [Date].[Year].[2014]
)

This query returns an error: No function matches signature '(<Set>, <Member>)'

If I remove the [Date.Date].[Year].[2014] from the query, it works smoothly, so I think the problem is in the formulation of the where clause. What am I doing wrong here? Is this the way to do this query?

Thanks

Answer 1

On the WHERE clause you need to specify a Tuple. A Tuple is an unordered set of members from 1 or more dimensions.

Try this:

WITH 
  SET [TopProducts] AS TOPCOUNT([Products].[Name].Members,10,[Measures].[Likes])
  MEMBER [Ages].[Range] as Aggregate( [Ages].[Age].[1]:[Ages].[Age].[24] )
SELECT {[Measures].[Likes]}
  ON COLUMNS, {[TopProducts]}
  ON ROWS FROM [Likes]
WHERE ( [Ages].[Range], [Date].[Year].[2014] )

The Aggregate function takes a set and returns a member which is the aggregation of all elements of the set. Now your tuple on the WHERE clause is correct, as it references two members of two different dimensions.

Answer 2

USE CROSS JOIN creates all the combinations of the 'Direct" member and the dates in my range as tuples for my WHERE slicer. I think this is the right answer.

WITH SET [TopProducts] AS TOPCOUNT([Products].[Name].Members,10,[Measures].
[Likes])
SELECT {[Measures].[Likes]}
ON COLUMNS, {[TopProducts]}
ON ROWS FROM [Likes]   
WHERE CROSSJOIN([Date].[Year].[2014],{[Ages].[Age].[1]:[Ages].[Age].[24]})

Answer 3

Your slicer predicate tries to do a crossproduct of a set and a member. That's not possible.

Add brackets ( '{' & '}' ) around the date member to turn it into a set of one member. It'll become a compound predicate which includes your two sets.

WITH SET [TopProducts] AS TOPCOUNT([Products].[Name].Members,10,[Measures].[Likes])
SELECT {[Measures].[Likes]}
ON COLUMNS, {[TopProducts]}
ON ROWS FROM [Likes]
WHERE (
  {[Ages].[Age].[1]:[Ages].[Age].[24]} *
  {[Date].[Year].[2014]}
)