Dear Rcpp developers, first of all thank you for your persistent work on and with Rcpp - this mailinglist is impressive!
I implemented a class_A and a list class_B following this (https://stackoverflow.com/a/44303993/3216883) example by Romain Francois in the Rcpp modules framework. class_A in my setup is far more complex than the example and my factory function of class_B takes a DataFrame instead of a List. Nevertheless I didn't include code here - linked example is already quite comprehensive. I can instantiate objects of class_A in R and store them in the std::vector in class_B. That works fine. Unfortunately I run into performance problems with this approach. class_B is supposed to store up to 100,000 instances of class_A, but the new() call in R for just 2000 already takes far too long (ca. 20s). I tried to figure out what exactly takes this long and I realized that it's neither the construction of the individual objects of class_A, nor pushing them into the vector. The bottleneck seems to be somehow related to how this object of class_B is exposed to R. That's especially sad because I don't want to interact a lot with class_B in R, but mostly use it in my C++-Code. The interaction with R works with an as.data.frame() function which is again pretty fast. Do you have any ideas how I could avoid this bottleneck? Clemens Schmid _______________________________________________ Rcpp-devel mailing list Rcpp-devel@lists.r-forge.r-project.org https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel
