Forum Discussion
Power BI Server May 2022 - High memory usage on msmdsrv.exe
Hey all,
We had the issues with the Jan release, where the CPU was causing issues, and upgraded to May on the weekend. This morning, I came in and found the memory for msmdsrv.exe using 300+gb of RAM, plus the same in virtual memory, and using everything the server had - not leaving any memory for the database service etc.
I know it probably comes down to poor models from my team, but is there any way of limiting the amount of RAM available to the service in the config?
There looks to be some guidence from Microsoft on this for Analysis Service, but I want to make sure it's the same guidence for Power BI Report Server, and which settings would be recommended to set.
Hi AndrewTobin ,
Trying to monitor memory usage using DMV.
The msmdsrv.ini file in MSSQLSERVER\OLAP\Config to see specific details.Server Properties in Analysis Services | Microsoft Docs
Also, you can also check out similar solutions.
Solved: msmdsrv.exe bloated to 4.7 G memory usage - what's... - Microsoft Power BI Community
If the problem is still not resolved, please provide detailed error information and related operation screenshoots. Looking forward to your reply.
Best Regards,
Henry
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
2 Replies
Hi AndrewTobin ,
Trying to monitor memory usage using DMV.
The msmdsrv.ini file in MSSQLSERVER\OLAP\Config to see specific details.Server Properties in Analysis Services | Microsoft Docs
Also, you can also check out similar solutions.
Solved: msmdsrv.exe bloated to 4.7 G memory usage - what's... - Microsoft Power BI Community
If the problem is still not resolved, please provide detailed error information and related operation screenshoots. Looking forward to your reply.
Best Regards,
Henry
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.This happened to me too. After checking, it became clear that when we want to display one of the dashboards, the memory consumption is very high. In this dashboard, a table was in loading mode and did not show me any data. By applying changes in the part of the data model, the table was fixed and it became clear that the memory consumption had been rationalized.
