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Baerbel
Helper I
Helper I

USERRELATIONSHIP gives wrong results

Dear all,

 

I'm struggling again with my Dax Code (I'm a beginner). 😖  I've the following tables:

  • tblValue with the fields PR_ID, Value, 
  • tblProject with the fields PR_ID, DC_ID, MC_ID  (to be noted, that ech Project has a DC and a MC and that DC_ID and MC_ID can be the same, but can be different)
  • tblCustomer with the fileds DC_ID, MC_ID, Type  (to be noted that the same customer can be for one Project a DC and for another project the MC, but always the Type od the customer (lets say public, private) remains the same)

 

Between the tables the following active connections exist:  Table1[PR_ID] >>> Table2[PR_ID]
                                                                                               Table2[DC_ID] >>> Table3[DC_ID]

Additionally I have a non-active connetion between  Table2[MC_ID] >>> Table3[MC_ID]

 

I want to calculate the Sum of the values from Table1 and display them in a visal for the different types defined in Table3. Here I've created two measures

Measure 1 for the values if the Customer is a DC (active connection):

CALCULATE (
    SUM ( tblValue[Value] )
    )
 
Measure 2 for the values if the Customer is a MC (non-active connection)
CALCULATE (
    SUM ( tblValue[Value] )
    ),
    USERRELATIONSHIP(tblProject[MC_ID], tblCustomer[MC_ID])
)
 
What I would expect is the following result
 
ProjectDC privateDC publicMC privateMC public
PR1 (DC1 = MC1)100 100 
PR2 (DC2 = MC1) 200200 
PR3 (DC3 = MC4) 300 300
 
So the summ should always for Total DC and for Total MC be the same, but it is'nt - my second measure calcuates only all MC where DC = MC, if DC <> MC the values are not summed.
If I only activate one connection  Table2[MC_ID] >>> Table3[MC_ID] it works perfect, but I really need to compare both types in one visual.
 
Who can help me to find the msitake in my code or my thinking; my be there will be a better solution?
Thanks a lot to everybody who thinks about my challenge - any ideas ar much appreciated.🤔
 
Bärbel
 
 
 
 
1 ACCEPTED SOLUTION
Baerbel
Helper I
Helper I

Dear all,

 

thanks to everybody who tried to think about the challenge - I now solved it by simply not repeating 

CALCULATE (
    SUM ( tblValue[Value] )
    )

in the second (userrelationship) measure, but refering here to the first measure

 

CALCULATE (
    [Measure1],  
    USERRELATIONSHIP(tblProject[MC_ID], tblCustomer[MC_ID])
)
 
Now it works - even if I still don't exactely understand why 
 
All the best
Bärbel

View solution in original post

3 REPLIES 3
Baerbel
Helper I
Helper I

Dear all,

 

thanks to everybody who tried to think about the challenge - I now solved it by simply not repeating 

CALCULATE (
    SUM ( tblValue[Value] )
    )

in the second (userrelationship) measure, but refering here to the first measure

 

CALCULATE (
    [Measure1],  
    USERRELATIONSHIP(tblProject[MC_ID], tblCustomer[MC_ID])
)
 
Now it works - even if I still don't exactely understand why 
 
All the best
Bärbel
Baerbel
Helper I
Helper I

Dear Adamk,

thanks a lot for taking time to try to help me. 
As I'm not alloud to share the original structure I tried to modify it. You can see the structure and the connections of the tables. Except the Calendar_table, the other DIM-tables are for other calculations in other visuals and not relevant for my calculation.

Structure.jpg

I'm trying to calculate the sum(value) from table1 for a certain perion of time (Months, yréar) and differentiated by C_Group and C_type (C_type is a part of the C_Group [hierarchy].

Table 2 consist of colums silimiar like this

PR_IDDC:IDMC_IDExplanation
1123888as the project is carried out as su-contractor, the direct customer (DC) differs from the main customer (MC)
2432432project carried out as main contractor, so DC and MC are the same

 

Table 3 consists of 5 colums - similiar like this:

DC_IDMC_IDC_NameC_GroupC_Type
123789Foxpublicenergy
234999Fishprivateservices
432888Birdprivateenergy

 

I hope I could explain it a bit better. Thanks a lot in advance

 

Bärbel

Anonymous
Not applicable

Hi @Baerbel ,

 

I am not able to reproduce this question, is it possible to provide relevant data about the data model so that I can answer it for you as soon as possible.

 

Best Regards,
Adamk Kong

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