The pins package provides a robust set of functions to read and write
standard types of files using standard tools, e.g. CSV files using
read.csv()
and write.csv()
. However, from time
to time, you may wish read or write in other ways. You may want to read
and write:
You can create a customized approach using either
pin_upload()
and pin_download()
. The goal of
this vignette is to show how you can incorporate this customization into
your workflow. To see a different approach for when you want to write
and read with consistent metadata, see
vignette("customize-pins-metadata")
.
We’ll begin with an example where we write and read uncompressed Arrow files, starting by creating a temporary board:
Two points to keep in mind:
pin_upload()
takes a vector of paths
to
local files.pin_download()
returns a vector of paths
to local files.If you are writing a one-off file, you can do everything directly:
pin_name <- "mtcars-arrow"
# file name will be `mtcars-arrow.arrow`
path <- fs::path_temp(fs::path_ext_set(pin_name, "arrow"))
arrow::write_feather(mtcars, path, compression = "uncompressed")
pin_upload(board, paths = path, name = pin_name)
#> Creating new version '20241007T153434Z-b7c60'
Reading from the downloaded pin is straightforward;
pin_download()
returns a local path that can be piped to
arrow::read_feather()
:
mtcars_download <-
pin_download(board, pin_name) %>%
arrow::read_feather()
head(mtcars_download)
#> # A tibble: 6 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
If you want to write more than one custom file of a certain type, or using a certain tool, you might consider writing a helper function:
pin_upload_arrow <- function(board, x, name, ...) {
# path deleted when `pin_upload_arrow()` exits
path <- fs::path_temp(fs::path_ext_set(name, "arrow"))
withr::defer(fs::file_delete(path))
# custom writer
arrow::write_feather(x, path, compression = "uncompressed")
pin_upload(board, paths = path, name = name, ...)
}
This helper function is designed to work like
pin_write()
:
pin_upload_arrow(board, x = mtcars, name = "mtcars-arrow2")
#> Creating new version '20241007T153434Z-b7c60'
As before, you can pipe the result of pin_download()
to
your reader function:
pin_download(board, name = "mtcars-arrow2") %>%
arrow::read_feather() %>%
head()
#> # A tibble: 6 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
If you want to use this same approach to archive and pin a whole directory, you can write a helper function like:
pin_upload_archive <- function(board, dir, name, ...) {
path <- fs::path_temp(fs::path_ext_set(name, "tar.gz"))
withr::defer(fs::file_delete(path))
archive::archive_write_dir(path, dir)
pin_upload(board = board, paths = path, name = name, ...)
}
You can download the compressed archive via
pin_download(board, name)
and then pipe that path straight
to archive::archive_extract()
to extract your archive in a
new directory.