The following script is from this MSDN article http://msdn.microsoft.com/en-us/library/ms145988.aspx
SELECT
[Measures].[Internet Sales Amount] ON 0,
NONEMPTY(
[Customer].[Customer].[Customer].MEMBERS,
{([Date].[Calendar].[Date].&[20010701], [Measures].[Internet Sales Amount])}
) ON 1
FROM [Adventure Works]
I basically took the script and replaced the elements from the above with equivalent elements from our cube.
What would be the reason that my script is not limiting it's results to the date specified in the NONEMPTY function but is returning all customers and their lifetime sales amount?
Try this:
SELECT
[Measures].[Internet Sales Amount] ON 0,
NONEMPTY(
[Customer].[Customer].[Customer].MEMBERS
) ON 1
FROM [Adventure Works]
where
[Date].[Calendar].[Date].&[20010701]
All the customers might have a non-null internet sales amount for the date you have specified. Moreover the nonempty will just filter out those members where the condition is not met. In your case as all the customers has non-null Internet Sales value, none of the customers are filtered out. And the Internet sales amount in the axis 0 will not be limited to the date that is specified, instead it returns the sales amount for each customer across all the dates.
Related
I am trying to do Cumulative Sum/ Running Total using the function below so the user can use any date level, but the requirement is to ignore some of the attributes from the calculation.
Function used:
SUM(NULL:Axis(1).Item(0).Item(Axis(1).Item(0).Count-1).Hierarchy.CurrentMember, [Measures].[ Number of Ticket])
Example:
The table below shows the Cumulative Sum as expected
Example - 1
Here by adding another attribute, Program Remaining, as shown below, its changes the Cumulative behavior, Because Excel will add that attribute to the grouping so it reset the cumulative sum:
Example - 2
Is there a way that I can exclude the Program Remaining attribute from the calculation (I have another 4 attributes that I want to exclude) so that the cumulative can be increased just like the first table even with adding these attribute.
I really appreciate any help
Try using the below sample query
with
member
[Measures].[Internet Sales AmountRunningtotal]
as
case when [Measures].[Internet Sales Amount] = null then null
else
sum({[Product].[Subcategory].firstchild:[Product].[Subcategory].currentmember},[Measures].[Internet Sales Amount])
end
select {[Measures].[Internet Sales Amount],
[Measures].[Internet Sales AmountRunningtotal]
} on columns,
non empty
([Date].[Calendar Year].[Calendar Year],[Date].[Calendar Quarter of Year].[Calendar Quarter of Year],
[Product].[Category].[Category],[Product].[Subcategory].[Subcategory])
on
rows
from
[Adventure Works]
So I explored the sample sent, Your only solutions is to keep the date in the inner most position, your query qouted above will break if you are not using entire members of an attribute.
I want to calculate the grand total of a given measure in MDX by a column dimension (time dimension)
This is my MDX code:
SUM(
([DIM_TIME].[PERIOD]),
[Measures].[VALUE]
)
Basically, this is what I want to get :
But this is what I get:
Thanks for any possible help
Take a look at the sample query
with member
[Measures].[Internet Sales AmountTotal]
as
case when [Product].[Category].currentmember is [Product].[Category].defaultmember then null
else ([Product].[Category].defaultmember,[Measures].[Internet Sales Amount])
end
select
({[Date].[Calendar Year].&[2012],[Date].[Calendar Year].&[2013]},
{[Measures].[Internet Sales Amount],[Measures].[Internet Sales AmountTotal]})
on columns,
{[Product].[Category].members}
on rows
from [Adventure Works]
I would like to calculate maximum value for a measure column without using dimension in mdx query. I tried the following query to achieve this.
WITH MEMBER [Measures].[Max key] AS
Max([Internet Sales Amount].Members,[Internet Sales Amount].currentmember.MEMBER_KEY)
SELECT {[Measures].[Max key]} on COLUMNS
FROM [Adventure Works]
But I got the error in result.
Can anyone suggest me how to achieve my requirement using mdx query?
You've written this:
WITH
MEMBER [Measures].[Max key] AS
Max
(
[Internet Sales Amount].MEMBERS
,[Internet Sales Amount].CurrentMember.Member_Key
)
SELECT
{[Measures].[Max key]} ON COLUMNS
FROM [Adventure Works];
[Internet Sales Amount] is a measure and therefore a numeric expression so you cannot apply the functions MEMBERS or CurrentMember. [Internet Sales Amount] will not even have keys - so why are you trying to find a max key?
Max is defined here: https://learn.microsoft.com/en-us/sql/mdx/max-mdx
You have no choice but to include a set for the max to work over:
Max( Set_Expression [ , Numeric_Expression ] )
This is a valid use of max:
WITH
MEMBER [Measures].[Max Sales] AS
Max
(
[Product].[Category].[Category]
,[Internet Sales Amount]
)
SELECT
[Product].[Category].[Category] ON ROWS
,{
[Internet Sales Amount]
,[Measures].[Max Sales]
} ON COLUMNS
FROM [Adventure Works];
It returns this:
What is the most efficient way to do this in MDX? I know you can create 2 calculated measures, having active with the time dimension current period selected, and another having the previous period, and then do a filter with a complex condition.
However what about other functions which may be more efficient? Any recommendations?
My goal is to create a set of calculated measures, which would help customer analysts. The main 2 dimensions, for these are [Calendar], and obviously [Customer]. I have a fact, which contains activity for customers. These are the 3 entities that our calculations would be based on.
This is from an article by Chris Webb: http://cwebbbi.wordpress.com/2010/10/08/counting-new-and-returning-customers-in-mdx/
With a follow up article on how to optimize it: http://cwebbbi.wordpress.com/2013/06/28/optimising-returning-customers-calculations-in-mdx/
WITH
MEMBER MEASURES.[Returning Customers] AS
COUNT(
NONEMPTY(
NONEMPTY(
[Customer].[Customer].[Customer].MEMBERS
, [Measures].[Internet Sales Amount])
, {[Measures].[Internet Sales Amount]}
* {NULL : [Date].[Calendar].CURRENTMEMBER.PREVMEMBER}
)
)
MEMBER MEASURES.[New Customers] AS
[Measures].[Customer Count] – MEASURES.[Returning Customers]
SELECT
{[Measures].[Customer Count]
, MEASURES.[Returning Customers]
, MEASURES.[New Customers]} ON 0,
[Date].[Calendar].[Calendar Year].MEMBERS ON 1
FROM [Adventure Works]
I have this:
SELECT
NONEMPTY(
[Date].[Calendar].[Calendar Year].MEMBERS
)
*
[Measures].[Internet Sales Amount] on 0,
ORDER(
[Customer].[Customer Geography].[State-Province].MEMBERS
,[Measures].[Internet Sales Amount]
,BDESC)
on 1
from [Adventure Works]
What is the most efficient way of ordering descending by the last date column - this should be dynamic so that it still works when we go over month end.
I would use
ORDER(
[Customer].[Customer Geography].[State-Province].MEMBERS
,([Measures].[Internet Sales Amount]
,Tail([Date].[Calendar].[Calendar Year]).Item(0).Item(0)
)
,BDESC)
and assume that the added term Tail([Date].[Calendar].[Calendar Year]).Item(0).Item(0) can be calculated by Analysis Services just checking the time dimension, and does not need any dynamic context, and hence should be fast.
If you want to have an expression which is independent of the content of the columns, you can use:
ORDER([Customer].[Customer Geography].[State-Province].MEMBERS
,Tail(Axis(0)).item(0)
,BDESC)