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

Enhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends September 15. Request your voucher.

Reply
Anonymous
Not applicable

Handling large tables

I have simple yet large table (10+ million  rows), with the following fields

User, HoursWorked, Date , ProjectNumber, HourCode

 

My report should something like this:

 

User chooses a year  (after this filter is applied it should leave around 500K rows)

 

A summary table which shows users and hours worked per month for that year (grouped by ProjectNumber)

A summary table which shows users and hours worked per month for that year (grouped by HourCode)

A detail table which shows the individual hours per day per hourcode per project if they click a user from one of the summary tables

 

This is all very simple I can make the report no problem if I use a small table with just a subset of the large one.

 

But how do I make this work with the large table, both  directquery and  import table take an unacceptable long time to load

 

Because it seems to load the entire 10m rows and then apply the year filter

3 REPLIES 3
v-cherch-msft
Microsoft Employee
Microsoft Employee

Hi @Anonymous

 

I would suggest you add a sql query like the ways in this post if it connects to sql server. 

 

Regards,

Cherie

Community Support Team _ Cherie Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Anonymous
Not applicable

Yeah, that is what is do now but that pulls in the 10m rows, I can't prefilter it, because it is user dependent.

The user chooses the period he wants to see but that happens after the data is pulled in. 

 

Isn't there a way to prefilter the data based on a users input ?

Hi do you got any solution on this?

 

Helpful resources

Announcements
August Power BI Update Carousel

Power BI Monthly Update - August 2025

Check out the August 2025 Power BI update to learn about new features.

August 2025 community update carousel

Fabric Community Update - August 2025

Find out what's new and trending in the Fabric community.