MDX query to pivot table based on condition - ssas

Question

I'm trying to write MDX query for pivot table.
Similar query in RDBMS is like this:
SELECT stats_Date
,ISNULL(SUM(clicks), 0) AS clicks
,ISNULL(SUM(CASE WHEN ad_type IN (1,3) THEN clicks END), 0) AS keyword_clicks
,ISNULL(SUM(CASE WHEN ad_type IN (2,3) THEN clicks END), 0) AS direct_clicks
FROM STATS_TABLE (NOLOCK)
WHERE stats_Date BETWEEN '2015-06-01' AND '2015-06-30'
GROUP BY stats_Date
I've two dimensions [DIM TIME] & [DIM AD TYPE]
I've tried below MDX query for this:
WITH
MEMBER [Measures].[Clicks Keyword] AS
IIF
(
[DIM AD TYPE].[Ad Type].CurrentMember IS [DIM AD TYPE].[Ad Type].&[1]
,[Measures].[clicks]
,0
)
SELECT {
[Measures].[Clicks]
,[Measures].[Clicks Keyword]
} ON COLUMNS
,{
[DIM TIME].[CalendarHierarchy].[Date]*[DIM AD TYPE].[Ad Type].[Ad Type]
} ON ROWS
FROM [CM_STATS_CUBE]
WHERE ([DIM TIME].[Month].&[201506]:[DIM TIME].[Month].&[201506]})
Sample output of this MDX query looks like this:
Clicks Clicks Keyword
20150501 Invalid (null) 0
20150501 unknown 200 0
20150501 Keyword 500 0
20150501 Ads 300 300
20150502 Invalid (null) 0
20150502 unknown 400 0
20150502 Keyword 600 0
20150502 Ads 500 500
but I want to only group by stats_date and the expected output is:
Clicks Clicks Keyword
20150501 1000 300
20150502 1500 500
Similar example for testing in [Adventure Works] cube database:
WITH
MEMBER [Measures].[Internet Sales Amount US] AS
IIF( [Customer].[Customer Geography].CurrentMember IS [Customer].[Customer Geography].[Country].&[United States]
,[Measures].[Internet Sales Amount]
,NULL
)
SELECT {
[Measures].[Internet Sales Amount]
,[Measures].[Internet Sales Amount US]
} ON 0
,NON EMPTY{[Date].[Calendar].[Date]} ON 1
FROM [Adventure Works]
WHERE {[Date].[Date].&[20050701]:[Date].[Date].&[20050702]}

Answer 1

You don't need to bother with the cross-join [DIM TIME].[CalendarHierarchy].[Date]*[DIM AD TYPE].[Ad Type].[Ad Type]
WITH
MEMBER [Measures].[Clicks Keyword] AS
IIF
(
[DIM AD TYPE].[Ad Type].CurrentMember IS [DIM AD TYPE].[Ad Type].&[1]
,[Measures].[clicks]
,0
)
SELECT
{
[Measures].[Clicks]
,[Measures].[Clicks Keyword]
} ON COLUMNS
,{[DIM TIME].[CalendarHierarchy].[Date]} ON ROWS
FROM [CM_STATS_CUBE]
WHERE
[DIM TIME].[Month].&[201506] : [DIM TIME].[Month].&[201506];
Also I would suggest using null rather than 0 in your IIF function - this should tidy up the result and speed things up:
WITH
MEMBER [Measures].[Clicks Keyword] AS
IIF
(
[DIM AD TYPE].[Ad Type].CurrentMember IS [DIM AD TYPE].[Ad Type].&[1]
,[Measures].[clicks]
,null //<<<<<<<<<<<<<<<<< better to use null rather than 0
)
SELECT
{
[Measures].[Clicks]
,[Measures].[Clicks Keyword]
} ON COLUMNS
, NON EMPTY //<<<<<<<<<<<<<<<<< now if Clicks and Clicks Keyword are both null the respective row will be excluded
{[DIM TIME].[CalendarHierarchy].[Date]} ON ROWS
FROM [CM_STATS_CUBE]
WHERE
[DIM TIME].[Month].&[201506] : [DIM TIME].[Month].&[201506];
Edit
I'd not read your script in enough detail - apologies. You can just just aggregate a set of two tuples:
WITH
MEMBER [Measures].[Clicks Keyword] AS
Sum
(
{
([DIM AD TYPE].[Ad Type].&[1],[Measures].[clicks])
,([DIM AD TYPE].[Ad Type].&[3],[Measures].[clicks])
}
)
SELECT
{
[Measures].[Clicks]
,[Measures].[Clicks Keyword]
} ON COLUMNS
, NON EMPTY //<<<<<<<<<<<<<<<<< now if Clicks and Clicks Keyword are both null the respective row will be excluded
{[DIM TIME].[CalendarHierarchy].[Date]} ON ROWS
FROM [CM_STATS_CUBE]
WHERE
[DIM TIME].[Month].&[201506] : [DIM TIME].[Month].&[201506];
The AdvWrks example you posted would just be a single tuple:
WITH
MEMBER [Measures].[Internet Sales Amount US] AS
(
[Customer].[Customer Geography].[Country].&[United States]
,[Measures].[Internet Sales Amount]
)
SELECT {
[Measures].[Internet Sales Amount]
,[Measures].[Internet Sales Amount US]
} ON 0
,NON EMPTY{[Date].[Calendar].[Date]} ON 1
FROM [Adventure Works]
WHERE {[Date].[Date].&[20050701]:[Date].[Date].&[20050702]}
If you wanted to add in Canada then there seem to be three viable alternatives:
1.
WITH
MEMBER [Measures].[Internet Sales Amount US & Canada] AS
(
[Customer].[Customer Geography].[Country].&[United States]
,[Measures].[Internet Sales Amount]
)
+
(
[Customer].[Customer Geography].[Country].&[Canada]
,[Measures].[Internet Sales Amount]
)
2.
WITH
MEMBER [Measures].[Internet Sales Amount US & Canada] AS
Aggregate
(
{
[Customer].[Customer Geography].[Country].&[United States]
,[Customer].[Customer Geography].[Country].&[Canada]
}
,[Measures].[Internet Sales Amount]
)
3.
(Switch to Sum)
WITH
MEMBER [Measures].[Internet Sales Amount US & Canada] AS
Sum
(
{
(
[Customer].[Customer Geography].[Country].&[Canada]
,[Measures].[Internet Sales Amount]
)
,(
[Customer].[Customer Geography].[Country].&[United States]
,[Measures].[Internet Sales Amount]
)
}
)

Answer 2

Try this:
WITH
MEMBER [Measures].[Clicks Keyword] AS
AGGREGATE({[DIM AD TYPE].[Ad Type].&[1], [DIM AD TYPE].[Ad Type].&[3]}, [Measures].[Clicks])
SELECT NON EMPTY
{
[Measures].[Clicks]
,[Measures].[Clicks Keyword]
} ON COLUMNS
, NON EMPTY
{[DIM TIME].[CalendarHierarchy].[Date]} ON ROWS
FROM [CM_STATS_CUBE]
WHERE
([DIM TIME].[Month].&[201506] : [DIM TIME].[Month].&[201506]);