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 nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
Hello,
I hope Desktop section is the correct one to post.
I have a dataset based on quite large view. I keep it in Direct Query as Import mode would probably blow off my PC.
Standard behaviour of Power BI Desktop/Service report creator is to instantly render visualisation after changing it (example: adding a column). Is there any way to change it? I would like to first create the visual: add all columns etc. and after that hit some kind of "apply" button, so then Desktop/Gateway will go to the source.
I know I can use "apply" button for slicers and filters. I want to know if I can use it for every visuals.
Thanks! Kamil
Yes, you can change the default behavior of Power BI Desktop/Service to prevent it from instantly rendering visualizations after changing them.
To do this, you can go to the "File" menu in Power BI Desktop, click on "Options and settings", and then choose "Options". In the "Current File" section, you should see an option called "Auto date/time/timezone". If this option is checked, it can cause Power BI to automatically update visualizations as soon as changes are made. To disable this behavior, uncheck the "Auto date/time/timezone" option.
Once you have disabled this option, you can make changes to your visualizations (e.g., add columns) without Power BI automatically rendering the results. When you're ready to update the visualizations with the new changes, you can hit the "Apply" button that you mentioned. This will refresh the visualizations with the latest data from your Direct Query source.
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
Join Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.
| User | Count |
|---|---|
| 29 | |
| 23 | |
| 18 | |
| 18 | |
| 15 |
| User | Count |
|---|---|
| 51 | |
| 44 | |
| 43 | |
| 39 | |
| 32 |