cancel
Showing results for 
Search instead for 
Did you mean: 
Reply
letitbi
Advocate I
Advocate I

Power BI in-memory RAM = Overload

Hi,

 

I'm facing a problem while trying to get data from "OData Connector", trying to get a 100M+ rows dataset.

After 45M rows loaded my RAM is overloaded (see screenshot).

 

How to analyze a high volumetry dataset ? (looking for both free and paid options)

in memory overloadin memory overload

 

Regards,

Adry

2 ACCEPTED SOLUTIONS
v-haibl-msft
Microsoft
Microsoft

@letitbi

 

You can try to use Direct Query instead of Import mode, or try to add extra memory for your computer.

 

Best Regards,

Herbert

View solution in original post

hugoberry
Responsive Resident
Responsive Resident

In order to reduce the amount of RAM your Data Model uses you must consider casting the columns to the appropriate data types. Very often a forgotten text column  which actually represents a number would consume all of your RAM in no time.

Also worth mentioning that the data types that you have in your data model are not necessary reflective of those that you get in your query. That is why checking how your data is structured in your Data Model is a quick win for RAM consumption.

 

Secondly, depending from where you get your data from you consider changin your M Query. The quick wins here are streaming the data or if you are making any intensive calculations in your queries  Buffer the intermediarry steps.

 

And finally consider loading the data one query at a time.

View solution in original post

3 REPLIES 3
hugoberry
Responsive Resident
Responsive Resident

In order to reduce the amount of RAM your Data Model uses you must consider casting the columns to the appropriate data types. Very often a forgotten text column  which actually represents a number would consume all of your RAM in no time.

Also worth mentioning that the data types that you have in your data model are not necessary reflective of those that you get in your query. That is why checking how your data is structured in your Data Model is a quick win for RAM consumption.

 

Secondly, depending from where you get your data from you consider changin your M Query. The quick wins here are streaming the data or if you are making any intensive calculations in your queries  Buffer the intermediarry steps.

 

And finally consider loading the data one query at a time.

v-haibl-msft
Microsoft
Microsoft

@letitbi

 

You can try to use Direct Query instead of Import mode, or try to add extra memory for your computer.

 

Best Regards,

Herbert

Thanks for the tips Smiley Happy

Helpful resources

Announcements
PBI Sept Update Carousel

Power BI September 2023 Update

Take a look at the September 2023 Power BI update to learn more.

Learn Live

Learn Live: Event Series

Join Microsoft Reactor and learn from developers.

Dashboard in a day with date

Exclusive opportunity for Women!

Join us for a free, hands-on Microsoft workshop led by women trainers for women where you will learn how to build a Dashboard in a Day!

MPPC 2023 PBI Carousel

Power Platform Conference-Power BI and Fabric Sessions

Join us Oct 1 - 6 in Las Vegas for the Microsoft Power Platform Conference.

Top Solution Authors