I am relatively new to this depth of MDX, but here is my dilemma. My goal is to implement a calculated member using a .Net Stored Procedure. The calculation (XIRR) will be based on a set of cash flow dates and cash flow amounts. Ideally this would be a calculation in my cube that is available as a measure to Excel/Browser users.
So to start simple I am just trying to implement my own COUNT calculated member/measure (not even using .Net) to say count the # of members in a given dimensions based on the current context. So lets say I have a dimensions Customer with a Customer Id Key. And let's say there are a total of 100 customers in my database. So Count(Customer.CustomerId.AllMembers) would be 100. Now when you start using the browser and say filter on Customer.CustomerId.&1, Customer.CustomerId.&2 (customer id 1 and 2) I would expect my count calculated member to return 2 but it returns the total 100 count. I have tried using exists. I am sure there is something that I am just fundamentally not understanding yet.
Hopefully this makes sense, would hugely appreciate any help from someone that has a good understanding of SSAS/MDX and calculations. Thanks in advance.
Marty
You may have some issues here, I did when I tried to do a similar thing.
Your calculated member is not honouring the client sub-select, which is normal. What in theory you would do is create a dynamic set, and then use that in the calculated member to force the dimension count to be evaluated in the context of the subcube your filters have created. Mosha has a good article here: http://sqlblog.com/blogs/mosha/archive/2007/08/25/mdx-in-katmai-dynamic-named-sets.aspx
So you'd end up with something like:
CREATE DYNAMIC SET CurrentCube.Customers AS
EXISTING(Customer.CustomerId.CHILDREN);
CREATE MEMBER CurrentCube.Measures.CustomerCount AS
Customers.COUNT
Now the real problem you'll have is a bug in SSAS https://connect.microsoft.com/SQLServer/feedback/details/484865/calcuated-member-with-a-reference-to-dynamic-named-set-kills-the-cubes-performance so the code above, which will probably work just fine locally, will kill a production cube. This was an exciting learning experience for me.
See if you can get any of the workarounds to work, I couldn't.
I was able to get what I wanted, but I had to create query-scoped dynamic sets as part of the MDX query, I wasn't able to create it as a cube object:
WITH DYNAMIC SET Customers AS
EXISTING(Customer.CustomerId.CHILDREN);
MEMBER Measures.CustomerCount AS
Customers.COUNT
SELECT
Measures.CustomerCount
ON COLUMNS
FROM [Cube]
WHERE Customer.CustomerId.&[1]
Let us know how you get on.
Related
I have a simple Data Cube for computing shared expenditures with one measure Amount and some dimensions and hierarchies but interesting one would be Relationship. It describes who bought something for whom. It's structure is:
Who
For whom
Relationship key
I am trying to code a calculation representing debt. For example if I bought something for sharing usage it would be half of 0.5 * Amount. On the other hand, if I bought something for myself it would be 0 * Amount.
As far I tried following calculation:
IIF(
[dimRelationship].[Relationship].currentMember = [dimRelationship].[Relationship].[RelatonshipID].&[MeShared],
[Measures].[Amount]*0.5,
[Measures].[Amount]*0)
It works good only at lowest RelationshipID level. When I roll-up browsered pivot-table it is acting according to else-expression. That is not really surprising because hierarchy's currentMember is not MeShared anymore. Another bad thing that total aggregation work neither - it would be most important as a general summary. Is there any suffix like .LeafMember or something like that which could help me perform this calculation?
Thank you in advance!
Best regards,
Max!
In you fact table add another column, in this column store the "Amount" multiplied by the relationshipID for that particular row. This will address you issue right out the box
Try SCOPE statement.
Firstly, create new calculation [Debt Calculation] as [Measures].[Amount]*0 /* as ELSE-scenario */
Then create a SCOPE:
SCOPE([Debt Calculation],[dimRelationship].[Relationship].[RelatonshipID].&[MeShared]);
THIS=[Measures].[Amount]*0.5;
END SCOPE;
If it's the lowest level of hierarchy and is a dimension key (which is used as a link to measure groups), it will re-calc higher levels of this dimension automatically. Please post a result here if not.
(This is a mock of my actual setup to help me figure out the problem.)
I have one fact table and one dimension table, linked by an id field.
My goal is to make a measure that sums up all "thing_count" (integer) values in my cube.
If the user splits by nothing, it should show the total "thing_count" for all records in the fact table. If it's split by "category_name" from the dimension, it should show the total "thing_count" for each category.
I tried to achieve this by creating a SUM measure in my cube:
It works, but not in the way I intend it to
It always shows (null) unless I drag in the "id" field from the dimension.
Measure only:
Measure and category:
Measure, category, and id:
How can I make the measure show the value without keys needing to be present?
Edit:
For GregGalloway's request (I've edited the names so the screenshots are easier to follow):
One common explanation for this behavior (no aggregation) is that you have inadvertently commented out the CALCULATE; statement in your MDX script in the cube. Please check that statement is still present.
I have a requirement where report should show measures as "not applicable" if one selects a attribute which is not linked to that measure Group.
1) unrelateddimesnion= 'false' is not solving my problem because i have few default members.
2) I could able to show measure value as "not applicable " by Writing this MDX statement
([Customer].[customer name].[customer name], [measures].[sales forecast]) = 'not applicable'
but with this i have to repeat the same line for each and every attribute present in the dimension ( and also for each and every measure present in the measure Group)
can someone help me Writing the MDX for entire dimension instead for individual attribute. Thanks in advance.
Kind Regards
Mah
Bad news! An MDX script on your cube can't reference such a sub-cube in a simple way. You may have seen the LEAVES(dimension) function for a scope statement but that won't work when one attribute in a dimension has the [All] level and another has a selection. (That is to say the function returns the leaves of the dimension's key attribute). What you can do is use nested scope statements with the outer one filtering down to the list of measures you want to affect. That will at least save you typing a formula num_attributes * num_measures times. The scope statement may even accept the MEASUREGROUPMEASURES function. (When I last used that it only returned visible measures but that's probably what you want anyway.)
It may be easier to link measure group and dimension and let your data sit on the UNKNOWN member. (Or an explicit dummy member.) Then filters against or slices to real customer hierarchy values will exclude your [Sales Forecast] rows and show it as null. That's not something I've done and it'll have ramifications for error processing and you'll have to allow users sight of the unknown or dummy member. So recommend you play with the idea before you rely on it.
I hope this helps some.
I need to build a named set with mdx which tells me for a whole year what which are the large records. I cannot share my data, so I'll use a sales example.
All sales reps. need to enter their sales numbers in a application and on top of that database there is a cube configured. One of the goals is to find weird sales behaviour in this cube. This would mean a sales rep that is selling 100k every year, suddenly only sells 30k a year.
I have created a dynamic set that allows me to filter on this by using a calculated member named 'qualifies'. This qualifies is defined like this. (Diff is calculated before)
CREATE MEMBER Currentcube.qualifies AS iif(abs([Diff]) > 50000, 1, NULL),DISPLAY_FOLDER = 'Check big difference';
So this check can be used to filter all the sales reps that have a difference of 50k sales.
When I add aonther filter to my cube, for example region, the 50k threshold will never be exceeded, because no body has more than 50k sales in one region. I want to make the 50K dynamic based on my where clause in my filter.
My question is, is this possible? I'm fairly new to MDX so if this is an easy question, please forgive me. I have been trying lots of different scenario's but none gave a wanted result. I have been looking online, but this specific scenario hasn't passed in my search results.
it might be possible I'm searching for the wrong keywords, but so far I couldn't find anything useful.
My problem is quite simple: At the moment I get a list of individual Ids through a report parameter, I pass them to a procedure and show the results.
The new request is like this: Instead of showing the list for all individuals at once, there should be a list for each individual id.
Since I'm quite a beginner in srss, I thought the easiest approach would be the best: Create a subreport, copy the shown list, and create a subreport per individual id.
The amount of this IDs is dynamic, so I have to create a dynamic amount of subreports.
Funny enought, this doesnt seem to be possible. This http://forums.asp.net/t/1397645.aspx url doesnt show exactly the problem, but it shows the limit of the subreports.
I even ran trough the whole msdn pages starting http://technet.microsoft.com/en-us/library/dd220581.aspx but I couldnt find anything there.
So is there a possibility, to create a loop like:
For each Individual ID in Individual IDs, create a subreport and pass ONE ID to this?
Or is there another approach I should use to make this work?
I tried to create a 'Fake'-Dataset with no sql query but just for iterating the id list, but it seems the dataset needs a data-source...
As usual, thanks so far for all answers!
Matthias Müller
Or is there another approach I should use to make this work?
You didn't provide much detail about what sort of information needs to be included in the subreport, but assuming it's a small amount of data (say, showing a personnel record), and not a huge amount (such as a persons sales for the last year), a List might be the way to go.
I tried to create a 'Fake'-Dataset with no sql query but just for iterating the id list, but it seems the dataset needs a data-source...
All datasets require a data source, though if you're merely hard-coding some fake return data, any data source will do, even a local SQL instance with nothing in it.