Can you share the code where you do all the operations?
I had in the past a huge slow down when i was doing a huge amount of :
I don’t know if that’s the case for you as well, the solution i found to make this as fast as possible was to refactor my code to have the Weight Definition only once with different bookkeped names if the weights were changing, and given that i was cutting several time my dataframe, and most of the time in the same way, i created a map< TString, RNode> to keep the nodes form Filters in a sort of cached place, to don’t redo the computation and compilation of the cut several time .
I have never run profilers for RDataFrame applications… but sometimes refactor the nodes building helped me to get much faster event loops…
Just for reference, we do observed several issues related to eos instabilities and RDataFrame in our analysis as well. Our code was not running with the same performance speed-up from a remote machine or from lxplus reading the files at /eos. That also might well be the reason of what you see.