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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("remotes") remotes::install_github("r-prof/profile")
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: 28 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.
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.