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:
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: 33 samples
names(ds)
#> [1] "meta" "sample_types" "samples" "locations"
#> [5] "functions" ".rprof"
write_pprof(ds, file.path(tempdir(), "1.pb.gz"))