Node.js NAPI Binding for LZ4 compression algorithm, powered by Rust napi-rs and lz4-flex.
Pros:
- Fast! ⚡️
- Memory Safe! 🔒
- Uses libuv's threadpool! 🧵
npm i lz4-napi
# OR
yarn add lz4-napiconst { 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 somewhereconst { uncompress } = require('lz4-napi');
// if you support top-level await
const compressedBuffer = await getFromSomeStorage();
const uncompressedBuffer = await uncompress(compressedBuffer)
// Do something with compressedBuffer!(data: Buffer | string | ArrayBuffer | Uint8Array, dict?: string | Buffer) => Promise<Buffer>(data: Buffer | string | ArrayBuffer | Uint8Array, dict?: string | Buffer) => Promise<Buffer>(data: Buffer | string | ArrayBuffer | Uint8Array) => Promise<Buffer>(data: Buffer | string | ArrayBuffer | Uint8Array) => Promise<Buffer>(data: Buffer | string | ArrayBuffer | Uint8Array, dict?: string | Buffer) => Buffer(data: Buffer | string | ArrayBuffer | Uint8Array, dict?: string | Buffer) => Buffer(data: Buffer | string | ArrayBuffer | Uint8Array) => Buffer(data: Buffer | string | ArrayBuffer | Uint8Array) => BufferBenchmarks runs on the following hardware:
- Processor Name: M4 pro
- Total Number of Cores: 12
- Memory: 24GB
Running "Compress" suite...
Progress: 100%
lz4:
7 355 ops/s, ±1.73% | 0.39% slower
lz4 dict:
6 375 ops/s, ±0.29% | 13.66% slower
snappy:
7 384 ops/s, ±0.53% | fastest
gzip:
444 ops/s, ±0.50% | 93.99% slower
deflate:
442 ops/s, ±0.62% | 94.01% slower
brotli:
6 ops/s, ±0.73% | slowest, 99.92% slower
Finished 6 cases!
Fastest: snappy
Slowest: brotli
Running "Decompress" suite...
Progress: 100%
lz4:
19 095 ops/s, ±1.51% | fastest
lz4 dict:
17 644 ops/s, ±1.51% | 7.6% slower
snappy:
14 424 ops/s, ±0.50% | 24.46% slower
gzip:
2 442 ops/s, ±0.60% | 87.21% slower
deflate:
2 467 ops/s, ±0.61% | 87.08% slower
brotli:
1 659 ops/s, ±0.43% | slowest, 91.31% slower
Finished 6 cases!
Fastest: lz4
Slowest: brotliProject 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
- Brooooooklyn/snappy - Inspiration and project structure
Distributed under the MIT License. See LICENSE for more information.