I am building a Mondrian Cube that shows information for a large range of dates. One of the measures for this cube is an average of a percentage value. Because some of the items in the cube should not make up the final average, I need to know how to filter them out based off this measure and only for this calculated member.
Found the solution to this thanks to the group over at the Pentaho forum:
http://forums.pentaho.org/showthread.php?t=75742
Related
is there a difference between a native cube measure (for example Measure1) and this mdx measure :
Measure2=[Measures].[Measure1] ?
Because when I use these measures together I dont get any results, and when I use them one by one I get what I want.
So the Cube Measures are present at the time of cube processing where the "MDX measures"(correct name is calculations) are determined at the query time. You should try to use the Cube measures where ever possible.
Secondly they can be easily used together.
I am new to SSAS. I have a requirement, I need to calculate no of working days between user selected date range (either in Excel or SSRS or PowerBI). I found the MDX query, I need assistance with create a named calculation with MDX expression.
Date Dimension (Filtered):
MDX:
WITH MEMBER Measures.WorkingDays AS
COUNT
(
exists( EXISTING {[Dim Date].[Date].[Date].members}
, [Dim Date].[Is Weekday].&[1] )
)
Select {Measures.WorkingDays} on 0 ,
[Dim Date].[Month].[Month] on 1
from [Project Cube]
where ([Dim Date].[Date].&[2018-01-01T00:00:00]:[Dim Date].[Date].&[2018-04-25T00:00:00])
I need to add this named column on Fact table as measurement. I am having trouble with the below items:
Creating named query with MDX expression mentioned.
Adding a [Number of Working Days] as measure in Fact table.
Please correct me, If I am doing it in wrong way. My requirement is I need a [NoOfWorkingDays] as measure in fact table, so that I can use SSAS aggregate to use it as input on other measure, such as ([utilization%] = ([ActualDaysWorked] / [NoofWorkingDays]).
Note that, I can do analysis with the given MDX, but I need to deploy it with precalculated values in cube, so that end user can directly use the cube.
Kindly let me know, if more details required, Thank you.
Welcome to SSAS and MDX. Now to the answer.
I need to add this named column on Fact table as measurement. I am
having trouble with the below items:
Creating named query with MDX expression mentioned. Adding a [Number
of Working Days] as measure in Fact table.
You dont need to add it to the Fact table at all. Open your SSAS project, in your object explorer double click your cube. Now on the top left hand you will see a CALCULATIONS tab. In the CALCULATION tab, Click new calculated member, the icon has a calculator on it.
Please correct me, If I am doing it in wrong way. My requirement is I
need a [NoOfWorkingDays] as measure in fact table, so that I can use
SSAS aggregate to use it as input on other measure, such as
([utilization%] = ([ActualDaysWorked] / [NoofWorkingDays]).
If I remember correctly, the calculated members will not be added into the Aggregations, however the underlying measures would be. Secondly if you are wondering that you can use your calculated Measure in another calculated measure. The answer is yes you can use it in another calculated measure. So this is totally possible
> ([utilization%] = ([ActualDaysWorked] / [NoofWorkingDays])
where [utilization%] and [NoofWorkingDays] are calculated measures.
I am having some issues trying to implement an average of a dimension attribute.
The basic structure is:
Booking Header Dimension
Fact Table (multiple rows per Booking Header
entry)
On the booking header dimension I have a numerical attribute called Booking Window, and I want to be able to create a calculated measure that averages this value.
We are using SQL Server 2012 standard edition.
Any help would be greatly appreciated.
The best approach would be to create a measure group from the dimension table (in BIDS, go to cube designer, tab "Cube Structure", right-click the cube object in the Measures list, and select "New Measure Group", select your dimension table). BIDS will generate some measures, and you can remove all but two: the one based on your numeric attribute (I will call it "YourSummedAttrib" to have a name to refer to below), and the count measure. The aggregate function for the measure "YourSummedAttrib" will probably be "sum", leave that as it is.
Then, create a calculated measure which divides "YourSummedAttrib" by the count measure, which gives the average. Finally, if you have tested everything, make the two measures "YourSummedAttrib" and the count measure invisible before you give the cube to the users, as they only need to see the average, which is the calculated measure.
You can try this which should give you the average of that attribute across all members.
WITH MEMBER [Measures].[Booking Window Value] AS
[Booking Header].[Booking Window].CURRENTMEMBER.MEMBER_VALUE
MEMBER [Measures].[Avg Booking Window Value] AS
AVG([Booking Header].[Booking Window].[Booking Window].MEMBERS,[Measures].[Booking Window Value])
SELECT
[Measures].[Avg Booking Window Value] ON COLUMNS
FROM
[YourCube]
Hope that helps and apologies for any confusion on my part.
Ash
I tried to use the same idea, but without success. The solution I found was create a view with the calculated average and include a new group of measures.
I have a measure in a fact table that I would like to sum over the time dimension and after do the average in all other dimensions. The order matters!
What is the best way to achieve that? Is there some SemiAgregration function in SSAS that provides this out of the box? Should I add MDX script to achieve that behaviour?
Thanks,
I have a dimension list of Product Codes and a measure called ACV in my cube. I need to be able to calculate the maximum ACV value for each product code.
I have got as far as the calculation below but that returns the sum of ACV for all products.
MAX([Products].[Product Code].[Product Code].Members, [Measures].[ACV])
I'd be grateful for input on how to resolve my problem.
Thanks!
If you want the maximum evaluated semiadditively by the grain of your model designed in the data source view, you should add a new measure (based on the same source field as the ACV measure) to your cube add set its AggregationFunction property to Max. More on aggregation functions in SSAS.