The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

brio - Basic R Input Output

Codecov test coverage R-CMD-check

Functions to handle basic input output, these functions always read and write UTF-8 files and provide more explicit control over line endings.

Reading files

library(brio)
#> 
#> Attaching package: 'brio'
#> The following objects are masked from 'package:base':
#> 
#>     readLines, writeLines
write_lines(c("abc", "123"), "my-file")

# Write with windows newlines
write_lines(c("abc", "123"), "my-file-2", eol = "\r\n")

file_line_endings("my-file")
#> [1] "\n"

file_line_endings("my-file-2")
#> [1] "\r\n"

read_lines("my-file")
#> [1] "abc" "123"

unlink(c("my-file", "my-file-2"))

Drop-ins

brio also has readLines() and writeLines() functions drop-in replacements for base::readLines() and base::writeLines(). These functions are thin wrappers around brio::read_lines() and brio::write_lines(), with deliberately fewer features than the base equivalents. If you want to convert a package to using brio you can add the following line and re-document.

#' @importFrom brio readLines writeLines

Benchmarks

Speed is not necessarily a goal of brio, but it does end up being a nice side effect.

gen_random <- function(characters, num_lines, min, max) {
  line_lengths <- sample.int(max - min, num_lines, replace = TRUE) + min
  vapply(line_lengths, function(len) paste(sample(characters, len, replace = TRUE), collapse = ""), character(1))
}

set.seed(42)

# generate 1000 random lines between 100-1000 characters long
data <- gen_random(letters, 1000, min = 100, max = 1000)

brio::write_lines(data, "benchmark")

Reading

Reading speeds are a decent amount faster with brio, mainly due to larger block sizes and avoidance of extra copies.

bench::mark(
  brio::read_lines("benchmark"),
  readr::read_lines("benchmark"),
  base::readLines("benchmark")
)
#> # A tibble: 3 × 6
#>   expression                          min   median `itr/sec` mem_alloc `gc/sec`
#>   <bch:expr>                     <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>
#> 1 brio::read_lines("benchmark")  886.62µs 891.11µs     1119.    8.05KB      0  
#> 2 readr::read_lines("benchmark")   2.69ms   2.92ms      342.   12.72MB     19.7
#> 3 base::readLines("benchmark")     2.97ms   2.98ms      335.   31.39KB      0

Writing

Write speeds are basically the same regardless of method, though brio does avoid some extra memory allocations.

bench::mark(
  brio::write_lines(data, "benchmark"),
  readr::write_lines(data, "benchmark"),
  base::writeLines(data, "benchmark"),
  check = FALSE
)
#> # A tibble: 3 × 6
#>   expression                                 min   median `itr/sec` mem_alloc
#>   <bch:expr>                            <bch:tm> <bch:tm>     <dbl> <bch:byt>
#> 1 brio::write_lines(data, "benchmark")  496.02µs  518.1µs     1911.        0B
#> 2 readr::write_lines(data, "benchmark")   7.16ms   7.61ms      111.     106KB
#> 3 base::writeLines(data, "benchmark")   508.65µs 540.83µs     1809.        0B
#> # … with 1 more variable: `gc/sec` <dbl>

unlink("benchmark")

Code of Conduct

Please note that the brio project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.