This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreDid you hear? There's a new SQL AI Developer certification (DP-800). Start preparing now and be one of the first to get certified. Register now
Before data can be loaded into Power BI, they have been transformed and modified with Excel’s Power Query. I have two sets of data. After transforming them, they have the same structure and same column header. To reach this point, I used the following mapping table to assign each Entity a certain Country. Normally there is a 1:1 match, except for those entities below.
Entity | Country |
187 - CROATIA | Croatia |
194 - SLOVENIA | Croatia |
179 - CZECH REPUBLIC | Czech |
193 - SLOVAKIA | Czech |
177 - HUNGARY | Hungary |
577 - HUNGARY | Hungary |
256 - LEBANON | Lebanon |
261 - LEBANON | Lebanon |
To combine both data sets, I have used
= Table.Combine({data_set_1, data_set_2})
in Excel’s Power Query Editor.
The result astonishes me: For the countries above (Coration, Czech, Hungary, Lebanon) the data of data_set_1 have been duplicated! All other countries are fine (which are not on the list above and which had a 1:1 relationship). However, I haven’t linked the mapping table as a reference to the newly created combined table in “Manage Data Model”. Data_set1 and data_set_2 have been double checked before the have been combined and they don’t contain any duplicated rows.
My question is: Why is Power Query using a mapping table although it has not been instructed to do so? How can I “switch” of this unintended function?
Any hints and comments are highly appreciated.
Thanks, Carsten
Hello @CarstenF
I cannot follow you. Why should Power Query using a mapping table if you didn't tell to do so? Could you post the M-code, some files or screenshot to understand what your queries are about and where the exact error is?
BR
Jimmy
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 7 | |
| 5 | |
| 4 | |
| 3 | |
| 3 |