This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
Hi all,
Does it make any difference if I add a Custom Column in the Query Editor versus by using a DAX calculation in the Desktop Report view please? I am thinking in terms of performance, as I need to get my report as efficient as I can get. Any and all help will be greatly appreciated. Thank you.
e.g.
Custom Column in Query editor
#"Added Custom" = Table.AddColumn(#"Changed Type", "Pipe CV €M", each [#"CV (converted).amount"]/1000000),
In Report View
Andrew
Solved! Go to Solution.
Hi @Anonymous
my suggestion is that you'd add this custom column with Power Query (or better yet from a view in the Data Source if you're importing from a database).
Also note that to create DAX measures you do not need to add this custom column as you can divide the amount by 10,000 directly in your measures
Did I answer your question correctly? Mark my answer as a solution!
Proud to be a Datanaut!
Hi @Anonymous
I would suggest you create custom column in Query editor or create a measure in date view. Below is the article about performence for your reference. You may choose the best way according to your data model.
Power BI performance best practices
Regards,
Cherie
Hi @Anonymous
I would suggest you create custom column in Query editor or create a measure in date view. Below is the article about performence for your reference. You may choose the best way according to your data model.
Power BI performance best practices
Regards,
Cherie
Hi @Anonymous
my suggestion is that you'd add this custom column with Power Query (or better yet from a view in the Data Source if you're importing from a database).
Also note that to create DAX measures you do not need to add this custom column as you can divide the amount by 10,000 directly in your measures
Did I answer your question correctly? Mark my answer as a solution!
Proud to be a Datanaut!
Check out the May 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 |
|---|---|
| 32 | |
| 26 | |
| 23 | |
| 22 | |
| 15 |
| User | Count |
|---|---|
| 63 | |
| 45 | |
| 28 | |
| 24 | |
| 22 |