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.
Related
In my cube I have
Earnings as measure with MIN aggregation
Dimension: [Localization].[Type].&[center]
Dimension: {[Date].[Year].&[2017], [Date].[Year].&[2018]}
My query is:
What are the minimum earnings of the person who decides to buy
apartments in the city center, excluding 5% of the lowest, within
last 2 years?
Now my mdx query looks like that:
SELECT
[Measures].[MinEarnings] ON COLUMNS
FROM [cube]
WHERE
(
BottomCount ([Localization].[Type].&[center], 95, [Measures].[MinEarnings]),
{[Date].[Year].&[2017], [Date].[Year].&[2018]}
)
I have two problems:
Some earnings are 0 - how can I skip them in calculations?
If my query correctly excludes 5% of the lowest earnings?
First of all you should use toppercent not bottomcount. you want the min salary of a person who is not in last 5% not last 5. Toppercent will give you the top 95%.
Secondly to filter 0 you can use the following syntax
toppercent (
filter([Localization].[Type].&[center], [Measures].[MinEarnings]>0)
, 95, [Measures].[MinEarnings])
Even now placing the code in the where clause might not work, however try it. I would suggest that you move the toppercent to rows , then order it, then take the top1
topcount(
order(
toppercent (
filter([Localization].[Type].&[center], [Measures].[MinEarnings]>0)
,95, [Measures].[MinEarnings])
,[Measures].[MinEarnings],asc)
,1)
I have an example which gives the minum sales amount of cities, notice i have replaced nulls with 0 to make it as close as possible to your case
with member [Measures].[Internet Sales Amount2]
as
case when ([Measures].[Internet Sales Amount])=null then 0 else [Measures].[Internet Sales Amount] end
select [Measures].[Internet Sales Amount2]
on columns ,
topcount(order(toppercent(filter([Customer].[City].[City],[Measures].[Internet Sales Amount2]>0),95,[Measures].[Internet Sales Amount2]),[Measures].[Internet Sales Amount2],asc),1)
on rows
from [Adventure Works]
where [Customer].[Country].&[Canada]
in the picture below is the result before topcount 1
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:
I need to product a report from my cube that looks something like the following.
(dummy data)
Where it lists sales and gross profit for today, this week, the period and year to date across the products category.
My cube is setup as follows
A date dimension
And the cube itself
Currently I have not implemented the product category pieces.
I'm struggling with how to write an MDX query that can return the sales/gross profit for a single day and then week and so on.
I can return it by itself like so
SELECT {[Measures].[Gross Profit],[Measures].[Price]} ON COLUMNS
From [Cube]
WHERE [Date].[Date Key].[2015-04-22];
and so on for the other various types (week etc), but I'm unsure as how to apply the where filter to the columnn itself rather than the overall query, or if this is even the correct way to do it and I should be making multiple MDX calls that I then compose in my app that will use this.
Can anyone give me a pointer in the right direction here?
EDIT: Seems to mostly work using the approach #Akshay Rane described however I cannot get one of my measures to work
MEMBER [This Week] as
(PeriodsToDate([Date].[Fiscal Week Date].[Fiscal Week],StrToMember('[Date].[Fiscal Week Date].[Date Key].&[' + '20140401' + ']'))
,[Measures].[Merchandise Gross Profit])
Gives me an error:
The function expects a string or numeric expression for the argument. A tuple set expression was used.
Any pointers here?
You will have to create separate Calculated Members for each time interval you want to aggregate the data upon.
This can be done in [Adventure Works] cube as follows.
WITH
MEMBER [Today] as
([Measures].[Internet Sales Amount], [Date].[Date].CURRENTMEMBER)
MEMBER [Last Week] as
AGGREGATE (
{ [Date].[Date].CURRENTMEMBER.lag(6) : [Date].[Date].CURRENTMEMBER }
, [Measures].[Internet Sales Amount]
)
SELECT
{ [Today], [Last Week] } ON 0,
{ ([Product].[Product Categories].[Category], [Date].[Date].[Date]) } ON 1
FROM
(
/*FILTERING ON SPECIFIC DATE USING SUBCUBE*/
SELECT [Date].[Date].&[20070715] ON 0
FROM [Adventure Works]
)
If you can take the different levels of date from the same user hierarchy then something like this is possible:
SELECT
{
[Date].[Calendar].[Month].&[2006]&[7]
,[Date].[Calendar].[Date].&[20050220]
}
*
{
[Measures].[Order Quantity]
,[Measures].[Internet Sales Amount]
} ON COLUMNS
,{[Product].[Category].Children} ON ROWS
FROM [Adventure Works];
The above produces results like this:
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.