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Description

Read, Manipulate, and Write Profiler Data.

Defines a data structure for profiler data, and methods to read and write from the 'Rprof' and 'pprof' file formats.

profile

rcc Codecov test coverage CRAN status

The goal of profile is to read and write files that contain run time profiling data. Currently, profile supports:

The data is available to the user for inspection and manipulation in a documented stable data format.

Installation

You can install profile from GitHub with:

# install.packages("remotes")
remotes::install_github("r-prof/profile")

Example

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"))

Code of Conduct

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.

Metadata

Version

1.0.3

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
    GHCJS
    Linux
    MMIXware
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