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Anonymous
Not applicable

Table visualization has exceeded resources when adding a single column from related table

I have a table visualization that is 56 columns wide and currently under 4000 rows of data.  I have hit the roadblock of "Visualization has exceed resources" and the table will not display.  I have attempted to deconstruct/rebuild the table to determine which particular columns are possibly causing / contributing to the issue.  I am down to 47 columns, and, according to the Performance Analyzer, the table takes under 2000 ms (less than 2 seconds) to load upon refresh (previously, I have had this table take longer and still load).  However, when I add a column from a related table, the table exceeds the limit, times out, and doesn't display.  The column is not a DAX measure.  It is a text data column from a table with only 5 C x 10 R.  The relationship is many to one (*:1) with a single cross filter direction.  It is not just this particular column, but other similarly "simple" data columns do the same thing.  Why would one column tip the model and exceed resources when without it, the table appears to load reasonably quickly?

1 ACCEPTED SOLUTION
Thejeswar
Super User
Super User

@Anonymous ,

Although Text Columns require more space and memory to be processed, this kind of thing is not usual. One thing that comes to mind to resolve this is that you need to check if there is any cross join that is happening between the tables when you add this one particular column (from a table with 5C x 10R).

 

This Cross join when happens could increase the number of records exponentially all at once, there by breaking the memory limit of Power BI

 

Regards,

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2 REPLIES 2
Thejeswar
Super User
Super User

@Anonymous ,

Although Text Columns require more space and memory to be processed, this kind of thing is not usual. One thing that comes to mind to resolve this is that you need to check if there is any cross join that is happening between the tables when you add this one particular column (from a table with 5C x 10R).

 

This Cross join when happens could increase the number of records exponentially all at once, there by breaking the memory limit of Power BI

 

Regards,

Anonymous
Not applicable

I will check on the cross join, although I am not sure how to find that.  That feels like the probable cause.  And I guess I could have more than one cross join situation with multiple tables.  I did do a quick experiment where I merged the desired column to the main data table and then added it to the visualization.  That worked fine.

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