The goal of profile is to read and write files that contain run time profiling data. Currently, profile supports:
Rprof()
.proto files written by pprof -proto, these can also be read by pprof
The data is available to the user for inspection and manipulation in a documented stable data format.
You can install profile from GitHub with:
# install.packages("pak")
# pak::pak("r-prof/profile")
install.packages("profile", repos = c('https://r-prof.r-universe.dev', 'https://cloud.r-project.org'))
This simple example converts an .out file generated by Rprof() to the .proto format understood by pprof.
rprof_path <- tempfile("profile", fileext = ".out")
Rprof(rprof_path, line.profiling = TRUE)
x <- runif(1e6)
res <- vapply(x, function(x) if (x < 0.5) sqrt(x) else x * x, numeric(1))
Rprof(NULL)
library(profile)
ds <- read_rprof(rprof_path)
ds
#> Profile data: <n> samples
names(ds)
#> [1] "meta" "sample_types" "samples" "locations" "functions"
#> [6] ".rprof"
write_pprof(ds, file.path(tempdir(), "1.pb.gz"))
Please note that the profile project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.