Hi, I’m trying to run filter based on multiple columns (decided at run time) in a table. There are more than a million of filters I have to run and even though I’m getting results it was taking humongous amount of time to complete the operation. I’m using Acero filter node to get the filtered table
I’d like to know if there’ll be a performance improvement if I use dictionary encoded arrays instead of string arrays? Also, any other pointers to speed up the operation Thanks, Surya
