Couldn't load data for this visual

[Priyanshu1]

I am receiving the below error which scrolling down a table in Power BI Desktop & Service both.

I am using Snowflake as a Direct Query Mode. I am using latest version of Power BI Desktop 2.131.1126.0 

Please let me know if anyone can help on this.

Thanks in advance!

[Anonymous · Accepted solution]

Hi @Priyanshu1 ,
Thanks for Uzi2019 reply.
Based on your description and the provided error screenshot, this issue is due to the fact that when you are using Direct query mode it is the amount of data that exceeds the maximum capacity of a one-time query. Here is a detailed explanation:

 -For 500 rows or less, there is no limit to the number of columns.

- For more than 500 rows, the number of columns must be 125 or less.

Use DirectQuery in Power BI Desktop - Power BI | Microsoft Learn

For table or matrix visualizations, there's a 125-column limit for results that return more than 500 rows from DirectQuery sources. These results display a scroll bar in the table or matrix that lets you fetch more data. In that situation, the maximum number of columns in the table or matrix is 125. If you must include more than 125 columns in a single table or matrix, consider creating measures that use MIN, MAX, FIRST, or LAST, because they don't count against this maximum.

Apply data point limits and strategies by visual type - Power BI | Microsoft Learn

Values: Virtualization (data windowing) by using Window of 500 rows at a time.

Best regards,
Albert He

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly

[Priyanshu1]

Hi @Anonymous, 

This helped me to understand Direct Query limitation of Dataset. Thank you for your help on this issue.

[Uzi2019]

Hi @Priyanshu1 

Because of too much data in  1 table so visual is not able to load the entire data..

Suggestion: try to apply  different filters so it will cut down you no of records per table..
so you can just select for this year data or relevent data as per your convenient.

I hope I answered your question!