Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi!
Please help me how to optimize the memory usage in Power BI Desktop. I got the message that I've runned out of memory during refresh. I've a complex database with many calculated columns, and about 10 tables. I'm running a 64 bit version with 8 GB memory. I tried to delete columns which are needn't but it's not enough!
Thank you in advance for your help!
Solved! Go to Solution.
Hi @Anonymous,
I would suggest using Direct Query instead of import mode. Adding more memory is also a good idea. Besides, I can't find out a good method that can make a big change. There are also many post you can reference:
1. power-bi-performance-tips-and-techniques
2. Power-BI-in-memory-RAM-Overload
3. powerbi-learning-2-4-optimize-data-models
Best Regards!
Dale
Hi @Anonymous,
I would suggest using Direct Query instead of import mode. Adding more memory is also a good idea. Besides, I can't find out a good method that can make a big change. There are also many post you can reference:
1. power-bi-performance-tips-and-techniques
2. Power-BI-in-memory-RAM-Overload
3. powerbi-learning-2-4-optimize-data-models
Best Regards!
Dale
Hi Dale!
Thank you for your help, I will try to do the model with Direct Query instead of Import!
Regards,
Mate
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 44 | |
| 43 | |
| 38 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 68 | |
| 64 | |
| 31 | |
| 29 | |
| 24 |