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Sonne
Helper II
Helper II

merge columns from different table into 1 table

table merge.JPG

Hello,

I dont find the formula for my problem . hopefully somebody can help me. 

i have different tables with different fields, but 3 columns are always the same . this 3 columns i want to have in a addional table ( distinct). 

 
1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

Try like

distinct(
union
(
selectcolumns(Table1,"UPI",Table1[UPI],"ID",Table1[ID],"Personalnumber",Table1[Personalnumber]),
selectcolumns(Table2,"UPI",Table2[UPI],"ID",Table2[ID],"Personalnumber",Table2[Personalnumber]),
selectcolumns(Table3,"UPI",Table3[UPI],"ID",Table3[ID],"Personalnumber",Table3[Personalnumber])
)
)

 

You can also use summarize in place of select columns, Small diff in syntax.

View solution in original post

4 REPLIES 4
Sonne
Helper II
Helper II

I tried the DAX solution and it is working fantastic. Exactly what I was looking for. I had the Distinct and Union command in my mind and tried, but the selectcolumns i didn't think off. 

Thanks very much for the fast response. It saved my day . 🙂

Geradav
Responsive Resident
Responsive Resident

HI @Sonne ,

 

You can achieve that in the Power Query Editor with the tools available in the Ribbon.

You can use the Append Queries function in te Combine group of the Home tab.

Then you Choose Columns (Manage  Columns group in the Home tab) you want to keep and Remove Duplicates (Click on Remove Rows in the Reduce Rows group of the Home tab)

 

Let us know if that works for you.

 

Regards

 

David

amitchandak
Super User
Super User

Try like

distinct(
union
(
selectcolumns(Table1,"UPI",Table1[UPI],"ID",Table1[ID],"Personalnumber",Table1[Personalnumber]),
selectcolumns(Table2,"UPI",Table2[UPI],"ID",Table2[ID],"Personalnumber",Table2[Personalnumber]),
selectcolumns(Table3,"UPI",Table3[UPI],"ID",Table3[ID],"Personalnumber",Table3[Personalnumber])
)
)

 

You can also use summarize in place of select columns, Small diff in syntax.

@Sonne  What @amitchandak is proposing is a DAX measure. Just precision in case you are not entirely familiar.

So now you have a solution in both languages M (Power Query) and DAX.

Your choice.

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