Provides a simple yet complete dplyr interface to fst files. Currently only select() and head() make use of fst's superior performance, all other methods offload to the default data frame implementation. The data is always returned as a tibble.
path <- tempfile()
dir.create(path)
fst::write_fst(iris, file.path(path, "iris.fst"))
fst::write_fst(mtcars, file.path(path, "mtcars"))
library(fstplyr)
#>
#> Attaching package: 'fstplyr'
#> The following object is masked from 'package:stats':
#>
#> filter
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
src <- src_fst(path)
src
#> src: fst files in /tmp/RtmpaVVOLY/file321750ba4185
#> tbls: iris, mtcars
tbl(src, "mtcars") %>%
select(mpg:wt, -drat, gear)
#> # A tibble: 32 x 6
#> mpg cyl disp hp wt gear
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21.0 6.00 160 110 2.62 4.00
#> 2 21.0 6.00 160 110 2.88 4.00
#> 3 22.8 4.00 108 93.0 2.32 4.00
#> 4 21.4 6.00 258 110 3.22 3.00
#> 5 18.7 8.00 360 175 3.44 3.00
#> 6 18.1 6.00 225 105 3.46 3.00
#> 7 14.3 8.00 360 245 3.57 3.00
#> 8 24.4 4.00 147 62.0 3.19 4.00
#> 9 22.8 4.00 141 95.0 3.15 4.00
#> 10 19.2 6.00 168 123 3.44 4.00
#> # ... with 22 more rows# install.packages("remotes")
remotes::install_github("krlmlr/fstplyr")