SQL to DAX

[Anonymous]

Hi - I have 2 tables that I imported into my Power BI.  One is Households and one is named Contacts.  Each contact is linked to a Household.  I want to add 2 columns to the Household Table that are called Head_1_Name and Head_2_Name.  

The SQL to do this in our Database is:

Households.Household_Name ,(SELECT Top 1 First_Name FROM Contacts C WHERE C.Household_ID = Households.Household_ID and Household_Position_ID = 1 ORDER BY Gender_ID) AS Head_1_Name ,(SELECT Top 1 First_Name FROM Contacts C WHERE C.Household_ID = Households.Household_ID and Household_Position_ID = 1 AND EXISTS (SELECT 1 FROM Contacts C2 WHERE C2.Household_Position_ID = 1 AND C2.Household_ID = C.Household_ID GROUP BY Household_ID HAVING Count(*) > 1) GROUP BY Contact_ID, First_Name, Gender_ID ORDER BY Gender_ID Desc) AS Head_2_Name

Is there a way to do this in Power BI, and where would I include this SQL?  Thanks!

[Anonymous]

Hi @Anonymous ,

Could you tell me if your problem has been solved?

If it is, kindly Accept it as the solution. More people will benefit from it.

In fact, after you add a new column in SQL Server, you click the refresh button in Power Query, and the data will be refreshed.

Best Regards,

Stephen Tao

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[CNENFRNL]

Value.NativeQuery() comes to your rescue; you may pass the whole intact sql to it. Another wonderful blog in this regard for your reference.

[Greg_Deckler]

@Anonymous Sample data would be infinitely more helpful than SQL code. You didn't read this:
https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882

In any case, probably the best thing to do would be to do this in Power Query via a Merge query.

But, you could something like DAX as well. One way would be to create an intermediate column like:

Column = 
  VAR __ID = [Household_ID]
RETURN
  CONCATENATEX(FILTER(Contacts,Contacts[Houshold_ID] = __ID),[Contact_ID] & [First_Name] & [Gender_ID],",")

You could then split this column out via SEARCH, LEFT, MID, etc. functions based on the comma. Again, not entirely sure what you are going for as I hate reading other people's SQL code.