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Rene34324
Frequent Visitor

the expression contains columns from multiple tables, but only columns from a single table

 

MateriaalKostenNederlandTekstArt = 
CALCULATE(
    SUM('C1-REV-DouaneMateriaalKosten'[TotalCost]),
    ( 'C1-RV-TekstArtikel-Jobnum-WO-Vendor'[Country] = "Nederland" && 'C1-REV-DouaneMateriaalKosten'[PartClassDescription] = "TekstArtikel"))

 

 gives the error : the expression contains columns from multiple tables, but only columns from a single table.
Does any one have an idea how i can perform this action ? Calculate TotalCost with Filtered values from two different tables ?

In de model the two tables are related on jobnum:
mdl.PNG

Thank you

1 ACCEPTED SOLUTION
lbendlin
Super User
Super User

MateriaalKostenNederlandTekstArt = 
CALCULATE(
    SUM('C1-REV-DouaneMateriaalKosten'[TotalCost]),
    'C1-RV-TekstArtikel-Jobnum-WO-Vendor'[Country] = "Nederland",
    'C1-REV-DouaneMateriaalKosten'[PartClassDescription] = "TekstArtikel")

 

I think you will want to spend some time with your data model. It is not in a usable shape at the moment.

View solution in original post

4 REPLIES 4
Rene34324
Frequent Visitor

Thank you
@lbendlin The measure you corrected measure does work.
I cannot change much on the datamodel since they come from existing views which i tied together.






lbendlin
Super User
Super User

MateriaalKostenNederlandTekstArt = 
CALCULATE(
    SUM('C1-REV-DouaneMateriaalKosten'[TotalCost]),
    'C1-RV-TekstArtikel-Jobnum-WO-Vendor'[Country] = "Nederland",
    'C1-REV-DouaneMateriaalKosten'[PartClassDescription] = "TekstArtikel")

 

I think you will want to spend some time with your data model. It is not in a usable shape at the moment.

@lbendlin  
Can you clarify your  statement below ? Thank you.
I think you will want to spend some time with your data model. It is not in a usable shape at the moment.

Power BI prefers star schema data models, with clearly identified dimension and fact tables in a 1:* single direction relationship (the dimension controlling the fact).  Avoid limited relationships and bidirectional *:* where possible.

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