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
I have to two DB's that I am trying to keep the same reports.
here is the dilemma
Table1 and Table 2 have all the same attributes but Table 2 has one that table 1 doesn't.
This breaks the reporting with "fix this" because the attribute is being relied on.
I am able to pull that value from another table "Table3"
So my goal is:
If Attribute name is missing 'meeting' then add a row with Roomname that is missing it.
Then get value from table3 column 1
Table1:
| attributename | roomname | Value |
| inuse | Room4 | 0 |
| inuse | Room2 | 0 |
| inuse | Room1 | 1 |
| Desktop | Room1 | 1 |
| inuse | Room3 | 0 |
Table 2
| attributename | roomname | Value |
| inuse | Room4 | 0 |
| inuse | Room2 | 0 |
| inuse | Room1 | 1 |
| Desktop | Room1 | 1 |
| inuse | Room3 | 0 |
| meeting | Room3 | 0 |
| meeting | Room1 | 1 |
Solved! Go to Solution.
not what I was looking for but it did help get to where I need to resolve the issue.
Thank you.
Hi @rtillery2000,
It's hard to add rows. The solution could be creating a calculated table with all the attributes.
Table =
DISTINCT (
UNION ( VALUES ( Table1[attributename] ), VALUES ( Table2[attributename] ) )
)
Best Regards,
Dale
not what I was looking for but it did help get to where I need to resolve the issue.
Thank you.
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 |
|---|---|
| 42 | |
| 37 | |
| 34 | |
| 21 | |
| 16 |
| User | Count |
|---|---|
| 65 | |
| 62 | |
| 31 | |
| 26 | |
| 25 |