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]
Related
When having a dimension [Date] containing dates. The members of this dimension have a property „LastRelevantDate“. I would like to write a mdx query returning the member names which starts at a given Date and iteratively looks up the next member given in the „LastRelevantDate“ property etc. I‘d like this to be repeated x–times. Is this possible with mdx? How could such a query look like?
These functions are iterative in MDX:
GENERATE
FILTER
An example from MSDN for Generate:
SELECT
{[Measures].[Internet Sales Amount]}
ON 0,
GENERATE(
[Date].[Calendar Year].[Calendar Year].MEMBERS
, TOPCOUNT(
[Date].[Calendar Year].CURRENTMEMBER
*
[Product].[Product].[Product].MEMBERS
,10, [Measures].[Internet Sales Amount]))
ON 1
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:
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)
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.