MDX - transpose rows to columns - ssas

Question

I'm trying to display details from two rows into one using MDX. If I execute the MDX below, it returns 2 rows, one containing the 998 Key and one containing the 999 Key
SELECT NON EMPTY {
[Measures].[FactTableCount] } ON COLUMNS,
NON EMPTY { ([DimXXXX].[XXXXKey].[XXXXKey].ALLMEMBERS
* ([DimAAAA].[AAAAKey].[AAAAKey],{[DimBBBB].[Key].&[998],[DimBBBB].[Key].&[999]},[DimCCCC].[CCCCKey].[CCCCKey])
) } ON ROWS
FROM ( SELECT ( { [DimXXXX].[XXXXKey].&[MyValue] } ) ON COLUMNS
FROM [FactTable])
It returns something like this
(columns [DimXXXX].[XXXXKey], [DimAAAA].[AAAAKey], [DimBBBB].[Key], [DimCCCC].[CCCCKey], [Measures].[FactTableCount])
MyValue, MyAAAAKey1, 998, MyCCCCKey1, 1
MyValue, MyAAAAKey2, 999, MyCCCCKey2, 1
However I want to return one row like this
`(columns [DimXXXX].[Key], [DimAAAA].[AAAAKey], [DimAAAA].[AAAAKey], [DimBBBB].[Key], [DimBBBB].[Key], [DimCCCC].[CCCCKey], [DimCCCC].[CCCCKey], [Measures].[FactTableCount])
MyValue, MyAAAAKey1, MyAAAAKey2, 998, 999, MyCCCCKey1, MyCCCCKey2, 1
Among other things (such as using SETs, putting the 998/999 logic after the ROWS/COLUMNS, etc) I've tried
SELECT NON EMPTY {
[Measures].[FactTableCount] } ON COLUMNS,
NON EMPTY { ([DimXXXX].[XXXXKey].[XXXXKey].ALLMEMBERS
* ([DimAAAA].[AAAAKey].[Key],[DimBBBB].[Key].&[998],[DimCCCC].[CCCCKey].[CCCCKey])
* ([DimAAAA].[AAAAKey].[Key],[DimBBBB].[Key].&[999],[DimCCCC].[CCCCKey].[CCCCKey])
) } ON ROWS
FROM ( SELECT ( { [DimXXXX].[XXXXKey].&[MyValue] } ) ON COLUMNS
FROM [FactTable])
...however because the AAAAKey hierarchy is repeated I receive the error message "The AAAAKey hierarchy is used more than once in the Crossjoin function"
Is there a way to do do this ?

Answer 1

Based on your comment below I have a sample.Let me know if it works.
I think I can see what you're saying however the measures are one
thing, but the dimension values are another - say Record1:MyValue,
MyAAAAKey1, 998, MyCCCCKey1, 2 and Record2: MyValue, MyAAAAKey2, 999,
MyCCCCKey2, 5 - I would like to output MyValue, MyAAAAKey1,
MyAAAAKey2, 998, 999, MyCCCCKey1, MyCCCCKey2, 2, 5
So in the query below I am trying to simulate your problem.
select
{[Measures].[Internet Sales Amount]}
on columns,
non empty
([Customer].[City].[City],{[Product].[Category].&[1],[Product].[Category].&[3]},[Product].[Subcategory].[Subcategory])
on rows
from [Adventure Works]
Result
Now onw way is to take the changing values to columns, "{[Product].[Category].&1,[Product].[Category].&2}" in my case and "{[DimBBBB].[Key].&[998],[DimBBBB].[Key].&[999]}" in your case
select
{
({[Product].[Category].&[1],[Product].[Category].&[3]},[Measures].[Internet Sales Amount]),
([Product].[Category].defaultmember,[Measures].[Internet Order Quantity])
}
on columns,
non empty
([Customer].[City].[City],[Product].[Subcategory].[Subcategory])
on rows
from [Adventure Works]
Result:
Note how the values are only repeated for the relevent column. This does add an extra column but you rows are now half the orignal count.
Edit: to handle the requirement based on the comment
1st row of the grid would be Ballard, Bikes, Mountain Bikes, Road
Bikes. The 2nd: Ballard, Clothing, Caps, Gloves. The 3rd: Barstow,
Bikes, Road Bikes, null. I want to merge/list the actual dimension
values
So to achieve above we have two options. But in either case some manipulation on UI would be required.
1)First option
with member
measures.t
as (nonempty(existing([Customer].[City].currentmember,[Product].[Category].currentmember,[Product].[Subcategory].[Subcategory].members),[Measures].[Internet Sales Amount])).item(0).item(2).name
member measures.t1
as (nonempty(existing([Customer].[City].currentmember,[Product].[Category].currentmember,[Product].[Subcategory].[Subcategory].members),[Measures].[Internet Sales Amount])).item(1).item(2).name
select
{measures.t,measures.t1}
on columns,
nonempty(([Customer].[City].[City],{[Product].[Category].&[1],[Product].[Category].&[3]}),[Measures].[Internet Sales Amount])
on rows
from [Adventure Works]
2)The second option,
with member
measures.t1
as
[Customer].[City].currentmember.name
member measures.t2
as
[Product].[Category].currentmember.name
member measures.t3
as (nonempty(existing([Customer].[City].currentmember,[Product].[Category].currentmember,[Product].[Subcategory].[Subcategory].members),[Measures].[Internet Sales Amount])).item(0).item(2).name
member measures.t4
as (nonempty(existing([Customer].[City].currentmember,[Product].[Category].currentmember,[Product].[Subcategory].[Subcategory].members),[Measures].[Internet Sales Amount])).item(1).item(2).name
select
{measures.t1,measures.t2,measures.t3,measures.t4}
on columns,
nonempty(([Customer].[City].[City],{[Product].[Category].&[1],[Product].[Category].&[3]}),[Measures].[Internet Sales Amount])
on rows
from [Adventure Works]