Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Be one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now

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 Employee
Microsoft Employee

@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 Employee
Microsoft Employee

@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
Las Vegas 2025

Join us at the Microsoft Fabric Community Conference

March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!

Dec Fabric Community Survey

We want your feedback!

Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.

ArunFabCon

Microsoft Fabric Community Conference 2025

Arun Ulag shares exciting details about the Microsoft Fabric Conference 2025, which will be held in Las Vegas, NV.

December 2024

A Year in Review - December 2024

Find out what content was popular in the Fabric community during 2024.