Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
...
Hi @Anonymous,
You can use the merge (left join) function in Power Query. When the right side is null it`s available.
Let me know if u need some help.
Thanks,
Ricardo
Thanks Ricardo.
Yes, I think I will need more detail.
I have seen other functions here, but can't seem to get them to work.
@Anonymous,
https://docs.microsoft.com/en-us/power-bi/desktop-shape-and-combine-data
You just need to merge the datasets using the left join.
If u wanna use DAX u can use the function EXCEPT:
https://www.tutorialspoint.com/dax_functions/dax_except_function.htm
Thanks,
Ricardo
Veing a less sophistocated user and a bit of a newb, I used the following statement:
Column = CONTAINS(Table2, Table2[Value], Table1[Value])
This creates a True/Flase value. I change the value to text, and wrote an if statment that returns a vaule of Sold or Available. Not ideal - but functional.
What would you recommend at the easiest way to apply a DAX statement that returns a desired value i.e. Sold or Available, when an ID matches or not from two tables?
Thanks.
@Anonymous,
You can create a measure using the EXCEPT function, passing que ID`s.
Sold = VAR tbl1 = SELECTCOLUMNS(TABLE_1, "ID")
VAR tbl2 = SELECTCOLUMNS(TABLE_2, "ID")
VAR tbl = EXCEPT(tbl1; tbl2)
RETURN
COUNTX(tbl; ID)
Using this measure in a table you can visualize if it`s available or not, it will return 0 or non 0;
Thanks,
Ricardo
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 41 | |
| 37 | |
| 34 | |
| 21 | |
| 16 |
| User | Count |
|---|---|
| 65 | |
| 62 | |
| 31 | |
| 26 | |
| 25 |