On 8 June 2017 at 14:29, Clemens Schmid wrote: | 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?
I fear nobody can tell without code. Dirk -- http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org _______________________________________________ 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
