I am writing an MDX query in which i am selecting some Measures and while selection i have a where condition in which i am doing a cross join two facts , one is date and another a unique id and i am passing around 2000 unique ids and the query is taking around 20 minutes to execute and give the result.
Please find below query for the same
SELECT {[Measures].[TOTAL1], [Measures].[TOTAL2], [Measures].[TOAL3]} ON COLUMNS,
" + " {TOPCOUNT(FILTER([ID].[Ids].MEMBERS,
[ID].CurrentMember > 0),
5,[Measures].[TOTAL])} " + "ON ROWS
FROM [CHARTS]
WHERE({[Date].&[2015-09-01 00:00:00.0]}*{[NUM].[1],[NUM].[10],"
+ "[NUM].[18],[NUM].[47],[NUM].[52],[NUM].[105],[NUM].[126],[NUM].[392],"
+ "[NUM].[588],[NUM].[656],[NUM].[995],[NUM].[1005],[NUM].[1010],[NUM].[1061]})";
The straight mdx without the string manipulation operators (+) is as follows:
SELECT
{
[Measures].[TOTAL1]
,[Measures].[TOTAL2]
,[Measures].[TOAL3]
} ON COLUMNS
,{
TopCount
(
Filter
(
[ID].[Ids].MEMBERS
,
[ID].CurrentMember > 0
)
,5
,[Measures].[TOTAL]
)
} ON ROWS
FROM [CHARTS]
WHERE
{[Date].&[2015-09-01 00:00:00.0]}
*
{
[NUM].[1]
,[NUM].[10]
,[NUM].[18]
,[NUM].[47]
,[NUM].[52]
,[NUM].[105]
,[NUM].[126]
,[NUM].[392]
,[NUM].[588]
,[NUM].[656]
,[NUM].[995]
,[NUM].[1005]
,[NUM].[1010]
,[NUM].[1061]
};
Can you please tell me the different performance optimization techniques for the same.