knime assign failed, request status: data overflow incoming data too big

I am using KNIME 4.7.1

I have RServe running and set the Rserve receiving buffer size limit to 0

My RStudio and R are up to date (as of 4/10/2023)

I have some intricate validation rules to code and it is easier to do in code than KNIME. I build an R Snippet to encapsulate these rules.

But when I push a large data set (1,141,828 rows / 71 columns) into the R Snippet, it gets to 50% loaded and then fails with the warning:

Execute failed: Failed to transfer data to R

assign failed, request status: data overflow incoming data too big

Are there any other levers to help make the transfer from KNIME to R work?

If I re-wrote the logic from and R Snippet to a Python Snippet, would that help?

Thank you for any thoughts/help!