MDX to normalize set of measures - mdx

Question

I am trying to create a dataset for an SSRS report as documented here:
http://sqlblog.com/blogs/stacia_misner/archive/2010/10/08/29249.aspx
The challenge is that I have multiple measures who's data I want to include in the measure column and I want to include the name of the measure in the RowValue column. So where the following query returns only data for measure "Sales Amount":
with
member [Measures].[Measure] as [Measures].[Sales Amount]
member [Measures].[RowValue] as [Product].[Category].CurrentMember.Name
member [Measures].[ColumnValue] as [Date].[Calendar Year].CurrentMember.Name
select {[Measures].[Measure], [Measures].[RowValue], [Measures].[ColumnValue]} on columns,
non empty ([Product].[Category].[Category].Members, [Date].[Calendar Year].[Calendar Year].Members) on rows
from [Adventure Works]
What I want to do is run the following type of query but have the data returned in the structure of the query above which would allow me to plug it into an SSRS report matrix:
WITH
MEMBER measures.SalesAmount AS [Measures].[Sales Amount]
MEMBER measures.CustomerCount AS [Measures].[Customer Count]
MEMBER measures.InternetFreightCost AS [Measures].[Internet Freight Cost]
SELECT [Date].[Calendar Year].[Calendar Year].Members ON COLUMNS,
{measures.SalesAmount,measures.CustomerCount,measures.InternetFreightCost} ON ROWS
FROM [Adventure Works]
Do any of the MDX ninjas know if this is even possible with MDX?

Answer 1

with member [Geography].[City].[Sales Amount] as 1
member [Geography].[City].[Customer Count] as 1
member [Geography].[City].[Freight Cost] as 1
member [Measures].[RowValue] as [Geography].[City].CurrentMember.Name
member [Measures].[ColumnValue] as [Date].[Calendar Year].CurrentMember.Name
member [Measures].[Measure] as
CASE
WHEN [Geography].[City].CurrentMember IS [Geography].[City].[Sales Amount]
THEN ([Measures].[Internet Sales Amount], [Geography].[City].[All Geographies])
WHEN [Geography].[City].CurrentMember IS [Geography].[City].[Customer Count]
THEN ([Measures].[Customer Count], [Geography].[City].[All Geographies])
WHEN [Geography].[City].CurrentMember IS [Geography].[City].[Freight Cost]
THEN ([Measures].[Internet Freight Cost], [Geography].[City].[All Geographies])
END
select {[Measures].[RowValue], [Measures].[ColumnValue], [Measures].[Measure]}
on columns,
{ [Geography].[City].[Sales Amount], [Geography].[City].[Customer Count], [Geography].[City].[Freight Cost]}
*
[Date].[Calendar Year].[Calendar Year].Members
having [Measures].[Measure] <> null
on rows
from [Adventure Works]
should deliver what you want. I used [Geography].[City] as an utility hierarchy. This can be any hierarchy unused in the query. I chose this one, as it is unrelated to both measure groups used in the query, and hence very unlikely to be used in any query. Some Cube designers create one or two one-member dummy dimensions in their cubes that are unrelated to any measure group, and can be used just like here in order to create calculated members on them.
One of the difficulties with ReportingServices queries is that measures must always be in the columns, and no other hierarchy may be in the columns. Hence, if we want to have the measures in the rows, we must move them to another hierarchy. This is done in two steps: First, we create dummy members on the utility hierarchy, and then map these to the measure needed in the CASE construct of the [Measures].[Measure] definition, where we need to use the default member of the utility dimension (in most cases the All member) in order to get something different than the 1 that I used for the dummy value.
Finally: non empty does not work properly with this construct, as [Measures].[RowValue] and [Measures].[ColumnValue] are never null. Hence I replaced it by HAVING, which can look at specific column values within the row.