I have the following expression MDX :
isnull([Measures].[Available Hours],0)
After processing cube I got the following error in reporting :
No appropriate overload function was found for the stored procedure
.The parameters are incorrect .MdxScript Execution of the managed
stored procedure isnull failed with the following error :Microsoft
AnalysisServices AdomdServer AdomdException
How to resolve the error ?
isnull is not an mdx function.
To test for null in mdx try using iif
iif(
[Measures].[Available Hours] = 0,
0,
[Measures].[Available Hours]
)
It looks a little strange as we look for 0 and then if it is 0 change it to 0!!
But here is an example:
WITH
MEMBER [Measures].[Internet Sales Amount 2] AS
IIF
(
[Measures].[Internet Sales Amount] = 0
,0
,[Measures].[Internet Sales Amount]
)
SELECT
{
[Measures].[Internet Sales Amount]
,[Measures].[Internet Sales Amount 2]
} ON 0
,
[Customer].[Customer Geography].[Country].MEMBERS
*
[Product].[Category].MEMBERS ON 1
FROM [Adventure Works];
This is what happens:
Edit
Alternative by #MarcPolizzi does the same thing and his code is more compact:
WITH
MEMBER [Measures].[Internet Sales Amount 2] AS
IIF
(
[Measures].[Internet Sales Amount] = 0
,0
,[Measures].[Internet Sales Amount]
)
MEMBER [Measures].[Internet Sales Amount 3] AS
CoalesceEmpty
(
[Measures].[Internet Sales Amount]
,0
)
SELECT
{
[Measures].[Internet Sales Amount]
,[Measures].[Internet Sales Amount 2]
,[Measures].[Internet Sales Amount 3]
} ON 0
,
[Customer].[Customer Geography].[Country].MEMBERS
*
[Product].[Category].MEMBERS ON 1
FROM [Adventure Works];
You could use the CoalesceEmpty function to replace null/empty values. To replace them with a 0 value you can do the following:
CoalesceEmpty([Measures].[Available Hours], 0)
Hope that helps.
Related
SELECT
[Measures].[Internet Sales Amount] ON COLUMNS
,BottomCount
(
NonEmpty([Customer].[Customer].[Customer].MEMBERS)
,10
,[Measures].[Internet Sales Amount]
) ON ROWS
FROM [Adventure Works]
WHERE
[Date].[Calendar].[Calendar Year].&[2005];
The above query is showing me result having last 10 customer names with NULL measure value. I am using Adventure works Cube.
As per my understanding "bottomcount" is not working fine with where clause in "mdx" query. I want to fetch last 10 customer names for 2005 with measure value and hopefully i am looking for solution without using keyword "DESCENDANTS".
Please let me know in case, I am doing something wrong.
Give this a try:
bottomcount(
nonempty(
[Customer].[Customer].[Customer].Members
,[Measures].[Internet Sales Amount]
)
,10
,[Measures].[Internet Sales Amount]
)
You were getting the Customer names with NULL because in OLAP you are doing the cartesian product between the 2 dimensions (Measures is a special dimension, but it still acts as a dimension) it does not matter that you don't have values it will still crossjoin the members in your 2 sets and unless you request just the nonempty ones it will still give you the NULLs.
And if you'd like their full internet sales amount then move some of the logic into the WITH clause:
WITH
SET bot AS
NonEmpty
(
[Customer].[Customer].[Customer].MEMBERS
,(
[Measures].[Internet Sales Amount]
,[Date].[Calendar].[Calendar Year].&[2005]
)
)
SELECT
[Measures].[Internet Sales Amount] ON COLUMNS
,BottomCount
(
bot
,10
,[Measures].[Internet Sales Amount]
) ON ROWS
FROM [Adventure Works];
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]}
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]
)
}
)
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]);
Using AdventureWorksDW2008R I have the following DataSet
SELECT NON EMPTY {
[Measures].[Sales Amount], [Measures].[Total Product Cost], [Measures].[Internet Sales Count]
} ON COLUMNS, NON EMPTY
{
([Order Date].[Calendar Year].[Calendar Year].ALLMEMBERS )
} DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME ON ROWS
FROM [Adventure Works Cube]
Resutls are:
Sales Amount Total Product Cost Internet Sales Count
2005 4342674.0296 2562584.6235 8949
2008 25016003.1911002 14715208.9522001 51449
Is there a way to calculate the variance of each in the report?
For example the Variance of Internet Sales Count would be:
51449 – 8949 = 42500
And the % variance would be
42500/51449 = 83%
I know I can use the following to get the Sum:
=Sum(Fields!Internet_Sales_Count.Value, "DataSet1")
Is there a way to get the 2008 value and subtract the 2005 value?
Here is one possibility:
WITH
MEMBER [Measures].[Internet Sales diff] AS
(
[Delivery Date].[Calendar Year].CurrentMember
,[Measures].[Internet Sales Amount]
)
-
(
[Delivery Date].[Calendar Year].CurrentMember.Lag(1)
,[Measures].[Internet Sales Amount]
), format_string = '#,###,###,##0.00'
SELECT
NON EMPTY
{
[Measures].[Sales Amount]
,[Measures].[Total Product Cost]
,[Measures].[Internet Sales Amount]
,[Measures].[Internet Sales diff]
} ON COLUMNS
,NON EMPTY
{[Delivery Date].[Calendar Year].[Calendar Year].ALLMEMBERS}
DIMENSION PROPERTIES
MEMBER_CAPTION
,MEMBER_UNIQUE_NAME
ON ROWS
FROM [Adventure Works];
The result of the above is the following:
A percentage measure could then be added like this:
WITH
MEMBER [Measures].[Internet Sales diff] AS
(
[Delivery Date].[Calendar Year].CurrentMember
,[Measures].[Internet Sales Amount]
)
-
(
[Delivery Date].[Calendar Year].CurrentMember.Lag(1)
,[Measures].[Internet Sales Amount]
)
,format_string = '#,###,###,##0.00'
MEMBER [Measures].[Internet Sales diff %] AS
IIF
(
[Measures].[Internet Sales Amount] = 0
,null
,
[Measures].[Internet Sales diff]
/
(
[Delivery Date].[Calendar Year].CurrentMember.Lag(1)
,[Measures].[Internet Sales Amount]
)
)
,format_string = '#,###,###,##0.00%'
SELECT
NON EMPTY
{
[Measures].[Sales Amount]
,[Measures].[Total Product Cost]
,[Measures].[Internet Sales Amount]
,[Measures].[Internet Sales diff]
,[Measures].[Internet Sales diff %]
} ON COLUMNS
,NON EMPTY
{[Delivery Date].[Calendar Year].[Calendar Year].ALLMEMBERS}
DIMENSION PROPERTIES
MEMBER_CAPTION
,MEMBER_UNIQUE_NAME
ON ROWS
FROM [Adventure Works];
Results in this:
Here is a better approach using the parallelperiod function:
WITH
MEMBER [Measures].[Internet Sales PrevYr] AS
IIF
(
[Measures].[Internet Sales Amount] = 0
,null
,(
[Measures].[Internet Sales Amount]
,ParallelPeriod
(
[Delivery Date].[Calendar Year].[Calendar Year]
,1
,[Delivery Date].[Calendar Year].CurrentMember
)
)
)
,format_string = '$#,###,###,##0.00'
MEMBER [Measures].[Internet Sales diff] AS
IIF
(
[Measures].[Internet Sales Amount] = 0
,null
,
[Measures].[Internet Sales Amount] - [Measures].[Internet Sales PrevYr]
)
,format_string = '$#,###,###,##0.00'
MEMBER [Measures].[Internet Sales diff %] AS
IIF
(
[Measures].[Internet Sales PrevYr] = 0
,null
,
[Measures].[Internet Sales diff] / [Measures].[Internet Sales PrevYr]
)
,format_string = '#,###,###,##0.00%'
SELECT
NON EMPTY
{
[Measures].[Internet Sales Amount]
,[Measures].[Internet Sales PrevYr]
,[Measures].[Internet Sales diff]
,[Measures].[Internet Sales diff %]
} ON COLUMNS
,NON EMPTY
{[Delivery Date].[Calendar Year].[Calendar Year].MEMBERS} ON ROWS
FROM [Adventure Works];
Results:
i have this query, i need to implement for two dimension
WITH
SET [TCat] AS
TopCount([Product].[Subcategory].[Subcategory],10,[Measures].[Sales Amount])
MEMBER [Product].[Subcategory].[Other] AS
Aggregate([Product].[Subcategory].[Subcategory] - TCat)
SELECT { [Measures].[Sales Amount] } ON COLUMNS,
TCat + [Other] ON ROWS
FROM [Adventure Works]
I try but it is not working for two dimension
WITH
SET FIPS as
[Geography].[State-Province].[State-Province]
//TopCount([Product].[Subcategory].[Subcategory],10,[Measures].[Sales Amount])
SET [TCat] AS
Generate( {FIPS}, CrossJoin( {[Geography].[State-Province].CurrentMember}, topsum( ([Product].[Subcategory].[Subcategory]), 2, [Measures].[Sales Amount] ) ))
MEMBER [Product].[Subcategory].[Other] AS
Aggregate(Except( [Product].[Subcategory].[Subcategory].Members, TCat))
SELECT
{ [Measures].[Sales Amount] } ON COLUMNS,
Union(
TCat , {[Geography].[State-Province].[State-Province],[Product].[Subcategory].[Other]} ) ON ROWS
FROM [Adventure Works];
Try using Except.
WITH
SET [TCat] AS
TopCount([Product].[Subcategory].[Subcategory],10,[Measures].[Sales Amount])
MEMBER [Product].[Subcategory].[Other] AS
Aggregate(Except( [Product].[Subcategory].[Subcategory].Members, TCat)
SELECT { [Measures].[Sales Amount] } ON COLUMNS,
Union( TCat , {[Product].[Subcategory].[Other]} ) ON ROWS
FROM [Adventure Works]
I am trying to work out how I can get a total for a level in a user defined hierarchy. For example if I do (using Adventure works here):
SELECT [Measures].[Internet Sales Amount] ON 0,
([Date].[Calendar Year].ALLMEMBERS * [Date].[Month of Year].ALLMEMBERS) ON 1
FROM [Adventure Works]
I get totals for each pair of year/month values.
How can I rewrite this query using the Calendar user hierarchy in the Date dimensions? Eg something like:
SELECT [Measures].[Internet Sales Amount] ON 0,
([Date].[Calendar].[Year] * [Date].[Calendar].[Month]) ON 1
FROM [Adventure Works]
You can use
SELECT [Measures].[Internet Sales Amount] ON 0,
Hierarchize([Date].[Calendar].[Calendar Year] + [Date].[Calendar].[Month]) ON 1
FROM [Adventure Works]
This will show you each year containing its value (which is the sum of the months contained in it) before the months.
The + is the short form of Union in MDX, and Hierarchize sorts a set in hierarchical order, which means parents before children.
And if you want something similar to your first result, the closest thing I can imagine would be via calculated measures like this:
WITH Member Measures.Year AS
IIf([Date].[Calendar].CurrentMember.Level IS [Date].[Calendar].[Calendar Year],
[Date].[Calendar].CurrentMember.Name,
Ancestor([Date].[Calendar].CurrentMember, [Date].[Calendar].[Calendar Year]).Name
)
Member Measures.Month AS
IIf([Date].[Calendar].CurrentMember.Level IS [Date].[Calendar].[Month],
[Date].[Calendar].CurrentMember.Name,
'All Months'
)
SELECT {
Measures.Year,
Measures.Month,
[Measures].[Internet Sales Amount]
}
ON 0,
Hierarchize([Date].[Calendar].[Calendar Year] + [Date].[Calendar].[Month]) ON 1
FROM [Adventure Works]
Note that calculated members need not return numbers, they can as well return strings.
Using allmembers as you have it should return you the ALL line and then each year and each month. If you are interested in only the all line you can change you query to:
SELECT [Measures].[Internet Sales Amount] ON 0,
([Date].[Calendar Year] * [Date].[Month of Year]) ON 1
FROM [Adventure Works]
Notice how it is specifying only the Dimension and the hierarchy.
If you wanted to get the data without the all line use the following:
SELECT [Measures].[Internet Sales Amount] ON 0,
([Date].[Calendar Year].children * [Date].[Month of Year].children) ON 1
FROM [Adventure Works]