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!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hello,
I have the following two tables and i am trying to merge them into a single table by keeping the first 2 common columns and then appending all the other columns. Is this possible? Any help is much appreciated!
First Table
| Year | Week number | Items | Returns | Defective |
| 2022 | 1 | 3 | 4 | 8 |
| 2022 | 2 | 6 | 9 | 17 |
| 2022 | 3 | 2 | 5 | 10 |
| 2022 | 4 | 9 | 3 | 16 |
| 2022 | 5 | 5 | 6 | 15 |
| 2022 | 6 | 2 | 2 | 10 |
| 2022 | 7 | 7 | 8 | 22 |
| 2022 | 8 | 3 | 3 | 13 |
| 2022 | 9 | 6 | 3 | 18 |
| 2022 | 10 | 3 | 3 | 14 |
| 2022 | 11 | 2 | 7 | 17 |
| 2022 | 12 | 3 | 7 | 22 |
Second Table
| Year | Week number | Sold | Excess | Expired |
| 2022 | 1 | 2 | 8 | 11 |
| 2022 | 2 | 6 | 2 | 10 |
| 2022 | 3 | 3 | 6 | 12 |
| 2022 | 4 | 3 | 5 | 12 |
| 2022 | 5 | 7 | 3 | 15 |
| 2022 | 6 | 2 | 3 | 11 |
| 2022 | 7 | 9 | 3 | 19 |
| 2022 | 8 | 4 | 7 | 13 |
| 2022 | 9 | 7 | 2 | 18 |
| 2022 | 10 | 8 | 9 | 14 |
| 2022 | 11 | 5 | 2 | 17 |
| 2022 | 12 | 3 | 6 | 21 |
Results:
| Year | Week number | Items | Returns | Defective | Sold | Excess | Expired |
| 2022 | 1 | 3 | 4 | 8 | 2 | 8 | 11 |
| 2022 | 2 | 6 | 9 | 17 | 6 | 2 | 10 |
| 2022 | 3 | 2 | 5 | 10 | 3 | 6 | 12 |
| 2022 | 4 | 9 | 3 | 16 | 3 | 5 | 12 |
| 2022 | 5 | 5 | 6 | 15 | 7 | 3 | 15 |
| 2022 | 6 | 2 | 2 | 10 | 2 | 3 | 11 |
| 2022 | 7 | 7 | 8 | 22 | 9 | 3 | 19 |
| 2022 | 8 | 3 | 3 | 13 | 4 | 7 | 13 |
| 2022 | 9 | 6 | 3 | 18 | 7 | 2 | 18 |
| 2022 | 10 | 3 | 3 | 14 | 8 | 9 | 14 |
| 2022 | 11 | 2 | 7 | 17 | 5 | 2 | 17 |
| 2022 | 12 | 3 | 7 | 22 | 3 | 6 | 21 |
Solved! Go to Solution.
Looks like a merge on a Year and Week Number (inner join) but are you wanting something else to happen to the Expired column?
Looks like a merge on a Year and Week Number (inner join) but are you wanting something else to happen to the Expired column?
@HotChilli Thanks for your reply! Sorry, there was an error with the Expired column. I used inner join successfully! Inner join - Power Query | Microsoft Docs
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.