lz4-napi
Node.js NAPI Binding for LZ4 compression algorithm, powered by Rust napi-rs and lz4-flex.
Pros:
- Fast! ⚡️
- Memory Safe! 🔒
- Uses libuv's threadpool! 🧵
Table of content
Installation
npm i lz4-napi
# OR
yarn add lz4-napi
Usage
Compress
const { readFile } = require('fs/promises');
const { compress } = require('lz4-napi');
// if you support top-level await
const buffer = await readFile("./bigFile.dat");
const compressedBuffer = await compress(buffer)
// Store compressed buffer somewhere
Uncompress
const { uncompress } = require('lz4-napi');
// if you support top-level await
const compressedBuffer = await getFromSomeStorage();
const uncompressedBuffer = await uncompress(compressedBuffer)
// Do something with compressedBuffer!
APIs
Promise
compress
(data: Buffer | string | ArrayBuffer | Uint8Array, dict?: string | Buffer) => Promise<Buffer>
uncompress
(data: Buffer | string | ArrayBuffer | Uint8Array, dict?: string | Buffer) => Promise<Buffer>
compressFrame
(data: Buffer | string | ArrayBuffer | Uint8Array) => Promise<Buffer>
decompressFrame
(data: Buffer | string | ArrayBuffer | Uint8Array) => Promise<Buffer>
Sync
compressSync
(data: Buffer | string | ArrayBuffer | Uint8Array, dict?: string | Buffer) => Buffer
uncompressSync
(data: Buffer | string | ArrayBuffer | Uint8Array, dict?: string | Buffer) => Buffer
Performance
Hardware
Benchmarks runs on the following hardware:
- Processor Name: i9 9900K
- Total Number of Cores: 8
- Hyper-Threading Technology: Enabled
- Memory: 32 GB
Benchmark
Running "Compress" suite...
Progress: 100%
lz4:
911 ops/s, ±18.64% | 54.68% slower
snappy:
2 010 ops/s, ±19.23% | fastest
gzip:
78 ops/s, ±18.76% | 96.12% slower
deflate:
118 ops/s, ±20.42% | 94.13% slower
brotli:
6 ops/s, ±0.21% | slowest, 99.7% slower
Finished 5 cases!
Fastest: snappy
Slowest: brotli
Running "Decompress" suite...
Progress: 100%
lz4:
9 425 ops/s, ±12.50% | fastest
snappy:
3 900 ops/s, ±13.39% | 58.62% slower
gzip:
823 ops/s, ±20.48% | slowest, 91.27% slower
deflate:
1 350 ops/s, ±12.52% | 85.68% slower
brotli:
979 ops/s, ±11.55% | 89.61% slower
Finished 5 cases!
Fastest: lz4
Slowest: gzip
Done in 61.20s.
Contributing
Project is pretty simple and straight forward for what is my needs, but if you have any idea you're welcome.
This projects uses conventional commit so be sure to use standard commit format or PR won't be accepted
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
)
- Commit your Changes (
git commit -m 'feat(scope): some AmazingFeature'
)
- Push to the Branch (
git push origin feature/AmazingFeature
)
- Open a Pull Request
Acknowledgments
License
Distributed under the MIT License. See LICENSE
for more information.