Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
Hello,
I have a simple request for M Query experts :
I have 3 different Tables ( Table1 , Table2, Table3) with different structure for each of them
Table1 (Sales , Amount , Date , region , phone)
Table2 (sales , product, Trade_date, amount , color)
Table3( VAT , amount , sales , client , date , supervisor)
what I want to have is One New table with the commun fields Table (Sales, Date , Sales) aggregating all information .
I managed to use UNION function in DAX but I want to see if can do it in Power Query using Table.Combine but with selected columns something like the below :
= Table.Combine({#"Table1", #"Table2", #"Table3"})
thanks for your help
Solved! Go to Solution.
Please try this code
let
// Correct the column names and select common columns for Table1
Table1_Modified = Table.SelectColumns(Table.RenameColumns(Table1, {{"Amount", "Amount"}, {"Date", "Date"}, {"Sales", "Sales"}}), {"Sales", "Date", "Amount"}),
// Correct the column names and select common columns for Table2
Table2_Modified = Table.SelectColumns(Table.RenameColumns(Table2, {{"amount", "Amount"}, {"Trade_date", "Date"}, {"sales", "Sales"}}), {"Sales", "Date", "Amount"}),
// Correct the column names and select common columns for Table3
Table3_Modified = Table.SelectColumns(Table.RenameColumns(Table3, {{"amount", "Amount"}, {"date", "Date"}, {"sales", "Sales"}}), {"Sales", "Date", "Amount"}),
// Combine the tables
CombinedTable = Table.Combine({Table1_Modified, Table2_Modified, Table3_Modified})
in
CombinedTable
Hi @Redzero1
You can create a blank query and put the following code to advanced editor
let
SelectColumnfromTable1=Table.SelectColumns(Table1,{"Sales","Date","Amount"}),
SelectColumnfromTable2=Table.SelectColumns(Table2,{"sales","Trade_date","amount"}),
Renametable2=Table.RenameColumns(SelectColumnfromTable2,{{"sales", "Sales"},{"Trade_date","Date"},{"amount","Amount"}}),
SelectColumnfromTable3=Table.SelectColumns(Table3,{"sales","date","amount"}),
Renametable3=Table.RenameColumns(SelectColumnfromTable3,{{"sales", "Sales"},{"date","Date"},{"amount","Amount"}}),
combinetables = Table.Combine({Renametable3, Renametable2,SelectColumnfromTable1})
in
combinetables
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Please try this code
let
// Correct the column names and select common columns for Table1
Table1_Modified = Table.SelectColumns(Table.RenameColumns(Table1, {{"Amount", "Amount"}, {"Date", "Date"}, {"Sales", "Sales"}}), {"Sales", "Date", "Amount"}),
// Correct the column names and select common columns for Table2
Table2_Modified = Table.SelectColumns(Table.RenameColumns(Table2, {{"amount", "Amount"}, {"Trade_date", "Date"}, {"sales", "Sales"}}), {"Sales", "Date", "Amount"}),
// Correct the column names and select common columns for Table3
Table3_Modified = Table.SelectColumns(Table.RenameColumns(Table3, {{"amount", "Amount"}, {"date", "Date"}, {"sales", "Sales"}}), {"Sales", "Date", "Amount"}),
// Combine the tables
CombinedTable = Table.Combine({Table1_Modified, Table2_Modified, Table3_Modified})
in
CombinedTable
Thanks worked perfectly
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 4 | |
| 4 | |
| 3 | |
| 2 | |
| 1 |
| User | Count |
|---|---|
| 11 | |
| 11 | |
| 5 | |
| 4 | |
| 3 |