Speed up your R scripts. A cool optimized way to load, write and store big data frames with FST package!

March 29, 2020
By

[This article was first published on R | TypeThePipe, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

R Code Snippet Bencmarking Writting and Loading functions. Fst vs Readr vs Base R

Are you trying to save and load your DL model or a big dataset in R? Here we show you a performance boost to your scripts and reduction in disk memory storage with the FST CRAN package. We are going to benchmark it with R base functions (csv and RDS extensions) and another great package like readr:

Wow! That was cool! We can achieve an amazing reading and writing speed plus an incredible file size!

We can see a x3 and x50 performance improvements over the readr::write_rds() and base saveRDS() functions!

An incredible x100 performance between fst and csv writing functions, but the true here is that they are not directly comparable as they work with quite different file formats.

Are you going to add FST to your R projects toolbox too?

See related useful tips on TypeThePipe


To leave a comment for the author, please follow the link and comment on their blog: R | TypeThePipe.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)