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!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
It's ok from Desktop but unfortunately not in the service.
Solved! Go to Solution.
Things to look for in your measures would be:
1. Using Filter with a large table -- this loads the whole table then filters it
2. Using Summarize inside a measure also can cause a lot of excess data to be loaded when not needed and optimizing it could help
This Video by SQLBI is a good resource for some potentialy issues that might be happening: Filter columns, not tables, in DAX - YouTube
Optimizing Summarize SQLBI: Optimizing SUMMARIZE by using ADDCOLUMNS - Unplugged #40
Hi @gpielow
May I ask if you have resolved this issue? If so, please mark the helpful reply and accept it as the solution. This will be helpful for other community members who have similar problems to solve it faster.
Thank you.
Things to look for in your measures would be:
1. Using Filter with a large table -- this loads the whole table then filters it
2. Using Summarize inside a measure also can cause a lot of excess data to be loaded when not needed and optimizing it could help
This Video by SQLBI is a good resource for some potentialy issues that might be happening: Filter columns, not tables, in DAX - YouTube
Optimizing Summarize SQLBI: Optimizing SUMMARIZE by using ADDCOLUMNS - Unplugged #40
It will be because one of your measures is creating a large data cache. Can't say more without more context. Would need to see data model and measures
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 56 | |
| 53 | |
| 40 | |
| 17 | |
| 16 |
| User | Count |
|---|---|
| 122 | |
| 108 | |
| 44 | |
| 32 | |
| 26 |