Forum Discussion
Join tables based on multiple columns
Hey,
in the query editor
- duplicate the columns that you want to use for the join
- mark the duplicated columns you want to use for the join, choose "Merge columns" from the context menu.
Here is a screenshot:
Repeat this for the 2nd table.
Now you are able to use this column to create a relationship between both tables
Don't forget to "hide" this column from report view.
Hopefully this answers your question
Regards
Tom
I should clarify that my response was related to the Merge Queries function in Power Query, not creating relationships in the data model after loading queries. I read the question as a SQL user where Join is the equivalent to Merge in Power Query. I had previously created concatenated columns like you suggested in your solution but didn't like creating a new unnecessary column. I didn't know that you could merge queries based on multiple like columns in Power Query, but you definitely can in SQL. And so I tried holding control when selecting the second ID column (e.g., Customer ID as the first column, Month as the second column) in the "Merge Queries" interface, and that worked to Merge the two tables together based on values from two columns. It achieves the same result as this:
JoinedData = Table.Join(AgeData, {"Customer ID","Month"}, OccupationData, {"Customer ID","Month"})
Thanks for the tip! I have a question regarding "relationship", is it like "join" in SQL? If it is, what would be the equivalent in "relationship" to inner join/ outer join?
I usually write sql in ssms to create tables in powerbi. When multiple fields make up the PK, I do a CONCAT field in the sql query and use that in powerbi to join tables
