Let me describe the issue giving example from [Adventure Works] cube.
Following MDX returns count of 17473
SELECT NON EMPTY { [Measures].[Internet Order Count] } ON COLUMNS,
[Internet Sales Order Details].[Sales Order Number] on ROWS
FROM [Adventure Works])
WHERE ( [Sales Reason].[Sales Reason].&[1] -- price
and following returns count of 3515
SELECT NON EMPTY { [Measures].[Internet Order Count] } ON COLUMNS ,
[Internet Sales Order Details].[Sales Order Number] on ROWS
FROM [Adventure Works]
WHERE ( [Sales Reason].[Sales Reason].&[2]) -- on promotion
I would like to count [Sales Order Number] which are common in [Sales Reason].&1 and [Sales Reason].&[2]
SQL equivalent would be:
select count(distinct f.SalesOrderNumber)
from FactInternetSales f
join FactInternetSalesReason fs
on f.SalesOrderNumber = fs.SalesOrderNumber and f.SalesOrderLineNumber = fs.SalesOrderLineNumber
where fs.SalesReasonKey = 1 and fs.SalesOrderNumber in
(select SalesOrderNumber from FactInternetSalesReason fs1 where fs1.SalesReasonKey = 2)
-- sales reason 1 = 17473
-- sales reason 2 = 3515
-- common 1689
I got common count using following mdx:
WITH MEMBER [Measures].[common] AS count
( exists ( exists ([Internet Sales Order Details].[Sales Order Number].[Sales Order Number].Members,
[Sales Reason].[Sales Reason].&[1],"Internet Orders"
),
[Sales Reason].[Sales Reason].&[2],"Internet Orders"
)
)
SELECT NON EMPTY [Measures].[common] ON COLUMNS
FROM [Adventure Works]
-- 1689
But use of EXISTS is rather slow for my requirement. Please suggest an alternative.
Also please see related thread here
Thank you