It seems most intuitive that .rdata files might be the fasted file format for R to load, but when scanning some of the stack posts it seems that more attention has been on enhancing load times for .csv or other formats. Is there a definitive answer?
What are the file formats that read into R the fastest?
2k Views Asked by James Reinhardt - NOAA Affilia At
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Not a definitive answer, but below are times it took to load the same dataframe read in as a
.tab
file withutils::read.delim()
,readr::read_tsv()
,data.table::fread()
and as a binary.RData
file timed using thesystem.time()
function:.tab
withutils::read.delim
.tab
withreadr::read_tsv
.tab
withdata.table::fread
At @Roman 's request the same ~500MB file loaded in a blistering 3 seconds:
.RData
binary file of the same dataframeClearly not definitive (sample size = 1!) but in my case with a 500MB data frame:
.RData
is quickestdata.frame::fread()
is a close secondreadr::read_tsv
is an order of magnitude slowerutils::read.x
is slowest and only half as fast asreadr