Deduplicator
Find, Sort, Filter & Delete duplicate files
Usage
Usage: deduplicator [OPTIONS] [scan_dir_path]
Arguments:
[scan_dir_path] Run Deduplicator on dir different from pwd (e.g., ~/Pictures )
Options:
-t, --types <TYPES> Filetypes to deduplicate [default = all]
-i, --interactive Delete files interactively
-s, --min-size <MIN_SIZE> Minimum filesize of duplicates to scan (e.g., 100B/1K/2M/3G/4T) [default: 1b]
-d, --max-depth <MAX_DEPTH> Max Depth to scan while looking for duplicates
--min-depth <MIN_DEPTH> Min Depth to scan while looking for duplicates
-f, --follow-links Follow links while scanning directories
-h, --help Print help information
-V, --version Print version informationExamples
# Scan for duplicates recursively from the current dir, only look for png, jpg & pdf file types & interactively delete files
deduplicator -t pdf,jpg,png -i
# Scan for duplicates recursively from the ~/Pictures dir, only look for png, jpeg, jpg & pdf file types & interactively delete files
deduplicator ~/Pictures/ -t png,jpeg,jpg,pdf -i
# Scan for duplicates in the ~/Pictures without recursing into subdirectories
deduplicator ~/Pictures --max-depth 0
# look for duplicates in the ~/.config directory while also recursing into symbolic link paths
deduplicator ~/.config --follow-links
# scan for duplicates that are greater than 100mb in the ~/Media directory
deduplicator ~/Media --min-size 100mbInstallation
Cargo Install
Stable
$ cargo install deduplicatorNightly
if you'd like to install with nightly features, you can use
$ cargo install --git https://github.com/sreedevk/deduplicatorPlease note that if you use a version manager to install rust (like asdf), you need to reshim (asdf reshim rust).
Linux (Pre-built Binary)
you can download the pre-built binary from the Releases page.
download the deduplicator-x86_64-unknown-linux-gnu.tar.gz for linux. Once you have the tarball file with the executable,
you can follow these steps to install:
$ tar -zxvf deduplicator-x86_64-unknown-linux-gnu.tar.gz
$ sudo mv deduplicator /usr/bin/Mac OS (Pre-built Binary)
you can download the pre-build binary from the Releases page.
download the deduplicator-x86_64-apple-darwin.tar.gz tarball for mac os. Once you have the tarball file with the executable, you can follow these steps to install:
$ tar -zxvf deduplicator-x86_64-unknown-linux-gnu.tar.gz
$ sudo mv deduplicator /usr/bin/Windows (Pre-built Binary)
you can download the pre-build binary from the Releases page.
download the deduplicator-x86_64-pc-windows-msvc.zip zip file for windows. unzip the zip file & move the deduplicator.exe to a location in the PATH system environment variable.
Note: If you Run into an msvc error, please install MSCV from here
Performance
Deduplicator uses size comparison and fxhash (a non non-cryptographic hashing algo) to quickly scan through large number of files to find duplicates. its also highly parallel (uses rayon and dashmap). I was able to scan through 120GB of files (Videos, PDFs, Images) in ~300ms. checkout the benchmarks
benchmarks
| Command | Dirsize | Filecount | Mean [ms] | Min [ms] | Max [ms] | Relative |
|---|---|---|---|---|---|---|
deduplicator ~/Data/tmp |
(~120G) | 721 files | 33.5 Β± 28.6 | 25.3 | 151.5 | 1.87 Β± 1.60 |
deduplicator ~/Data/books |
(~8.6G) | 1419 files | 24.5 Β± 1.0 | 22.9 | 28.1 | 1.37 Β± 0.08 |
deduplicator ~/Data/books --min-size 10M |
(~8.6G) | 1419 files | 17.9 Β± 0.7 | 16.8 | 20.0 | 1.00 |
deduplicator ~/Data/ --types pdf,jpg,png,jpeg |
(~290G) | 104222 files | 1207.2 Β± 37.0 | 1172.2 | 1287.7 | 67.27 Β± 3.33 |
- The last entry is lower because of the number of files deduplicator had to go through (~660895 Files). The average size of the files rarely affect the performance of deduplicator.
These benchmarks were run using hyperfine. Here are the specs of the machine used to benchmark deduplicator:
OS: Arch Linux x86_64
Host: Precision 5540
Kernel: 5.15.89-1-lts
Uptime: 4 hours, 44 mins
Shell: zsh 5.9
Terminal: kitty
CPU: Intel i9-9880H (16) @ 4.800GHz
GPU: NVIDIA Quadro T2000 Mobile / Max-Q
GPU: Intel CoffeeLake-H GT2 [UHD Graphics 630]
Memory: 31731MiB (~32GiB)
Screenshots
