# hyparquet decompressors [![npm](https://img.shields.io/npm/v/hyparquet-compressors)](https://www.npmjs.com/package/hyparquet-compressors) [![workflow status](https://github.com/hyparam/hyparquet-compressors/actions/workflows/ci.yml/badge.svg)](https://github.com/hyparam/hyparquet-compressors/actions) [![mit license](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT) ![coverage](https://img.shields.io/badge/Coverage-93-darkred) This package exports a `compressors` object intended to be passed into [hyparquet](https://github.com/hyparam/hyparquet). [Apache Parquet](https://parquet.apache.org) is a popular columnar storage format that is widely used in data engineering, data science, and machine learning applications for efficiently storing and processing large datasets. It supports a number of different compression formats, but most parquet files use snappy compression. The hyparquet library by default only supports `uncompressed` and `snappy` compressed files. The `hyparquet-compressors` package extends support for all legal parquet compression formats. The `hyparquet-compressors` package works in both node.js and the browser. Uses js and wasm packages, no system dependencies. ## Usage ```js import { parquetRead } from 'hyparquet' import { compressors } from 'hyparquet-compressors' await parquetRead({ file, compressors, onComplete: console.log }) ``` See [hyparquet](https://github.com/hyparam/hyparquet) repo for further info. # Supported compression formats Parquet compression types supported with `hyparquet-compressors`: - [X] Uncompressed - [X] Snappy - [x] GZip - [ ] LZO - [X] Brotli - [X] LZ4 - [X] ZSTD - [X] LZ4_RAW # References - https://parquet.apache.org/docs/file-format/data-pages/compression/ - https://en.wikipedia.org/wiki/Brotli - https://en.wikipedia.org/wiki/Gzip - https://en.wikipedia.org/wiki/LZ4_(compression_algorithm) - https://en.wikipedia.org/wiki/Snappy_(compression) - https://en.wikipedia.org/wiki/Zstd - https://github.com/101arrowz/fflate - https://github.com/101arrowz/fzstd - https://github.com/foliojs/brotli.js - https://github.com/hyparam/hysnappy