Thanks to visit codestin.com
Credit goes to lib.rs

4 stable releases

new 1.2.1 Jan 11, 2026
1.2.0 Jul 20, 2025
1.1.0 Jul 20, 2025
1.0.0 Jul 20, 2025

#786 in Filesystem

MIT license

15KB
118 lines

rmtree

rmtree is a faster rm -rf.

rmtree speeds up recursive file and directory removal by performing filesystem traversals and removals in parallel.

# Install the "rmtree" command-line tool.
cargo install rmtree

rmtree --help
rmtree /large/nested/directory /trees/quickly

Documentation

Run rmtree --help for command-line usage details.

Installation

Pre-built rmtree binaries are statically linked using musl libc so that they can run on any Linux system.

Benchmarks

These timings were gathered on a 40 core Intel(R) Xeon(R) Gold 6242R CPU @ 3.10GHz. The storage was accessed over NFS against a live cluster from a Linux host.

A modestly-sized C++ project with build artifacts was used in these measurements. The test directory contains 1663 directories and 5822 files totalling 12 GB. This skews towards many small files and many directories.

Timings

All timings were performed with a warm NFS cache. As a read-only baseline, timings for find and sharkdp/fd are included.

Command Time (s)
fd 0.249
find 0.448

The following table summarizes the timings for rm -rf from GNU coreutils 8.32 and rmtree with different thread settings.

Command Time (s) Speedup Scaling Normalized
rm -rf 25.697 1.000
rmtree -t 1 23.729 1.083 1.000 1.000
rmtree -t 2 11.146 2.305 2.129 1.064
rmtree -t 3 7.866 3.267 3.017 1.006
rmtree -t 4 5.476 4.693 4.333 1.083
rmtree -t 5 4.556 5.640 5.208 1.042
rmtree -t 6 4.041 6.359 5.872 0.978
rmtree -t 7 3.581 7.176 6.626 0.947
rmtree -t 8 3.039 8.456 7.808 0.976
rmtree -t 9 2.712 9.475 8.750 0.972
rmtree -t 10 2.635 9.752 9.005 0.901
rmtree -t 11 2.179 11.793 10.890 0.990
rmtree -t 12 2.039 12.603 11.638 0.970
rmtree -t 16 1.941 13.239 12.225 0.764
rmtree -t 20 1.634 15.726 14.522 0.726
rmtree -t 24 1.354 18.979 17.525 0.730
rmtree -t 32 1.655 15.527 14.338 0.448

Relative performance is the performance relative to rm -rf. Thread scaling is measured relative to rmtree -j1.

The sweet spot on the number of threads for maximum efficiency will vary depending on your specific storage and hardware. In this specific test, we can see negative consequences from adding more threads in the jump from 24 to 32 threads.

Code Status

Build status MIT License

rmtree is actively maintained and its core functionality is stable and feature-complete.

Dependencies

~2–14MB
~117K SLoC