Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes! Register now.
Hey all,
So I have two tables:
Table01, which countain a list of Assets, with one column being a list of Groups it belongs to - Comma seperated.
Table02, which was generated as a seperate table to contain all of these independent Group names, de-duplicated and cleaned.
I would like to add another column within Table02 to show many Assets within Table01 are part of this specific group, but I can't seem to find something that works across tables (no relation) utlising Contains.
A brief view...
Table01:
Asset Name | Groups
Asset01 | Group01, Group03
Asset02 | Group02
Asset03 | Group02, Group03
Table02:
Group Name | Number of Assets
Group01 | ?
Group02 | ?
Group03 | ?
Any help would be very much appreciated!
Thanks in advance.
Solved! Go to Solution.
@Anonymous , new column in table 2
countx(filter(Table1, containsstring(Table1[Group], Table2[Group])), Table1[Assets])
or
calculate(distinctCOUNT(Table1[Assets]) , filter(Table1, containsstring(Table1[Group], Table2[Group])))
@Anonymous , new column in table 2
countx(filter(Table1, containsstring(Table1[Group], Table2[Group])), Table1[Assets])
or
calculate(distinctCOUNT(Table1[Assets]) , filter(Table1, containsstring(Table1[Group], Table2[Group])))
Perfect! the CountX option worked like a dream.
Thanks for the help.
Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes!
Check out the September 2025 Power BI update to learn about new features.