Apache License 2.0

项目介绍

vortex-data/vortex 是一个托管在 GitHub 上的开源项目,主要使用 Rust 编写,采用 Apache License 2.0 许可证,目前获得 3.3k 个 Star、258 次 Fork。

仓库全名
vortex-data/vortex
开源许可证
Apache License 2.0
Star 数
3.3k
Fork 数
258
未关闭 Issue
470

README 摘要

🌪️ Vortex Join the community on Slack! | Documentation | Performance Benchmarks If you are interested in closer collaboration, please email [email protected] Overview Vortex is a next-generation columnar file format and toolkit designed for high-performance data processing. It is the fastest and most extensible format for building data systems backed by object storage. It provides: Blazing Fast Performance 100x…

完整内容见 GitHub 原始 README 或本页 。

常见问题

vortex 用什么语言开发?

主要使用 Rust 编写,采用 Apache License 2.0 许可证,目前有 3.3k 个 Star。

vortex 可以免费商用吗?

仓库采用 Apache License 2.0 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 vortex 的源码?

可以直接克隆仓库:git clone https://github.com/vortex-data/vortex.git;安装与运行步骤见仓库 README。

vortex 最近还在维护吗?

仓库最近一次更新为 23 小时前,当前有 470 个未关闭 Issue;Star 数为 3.3k,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

An extensible, state-of-the-art framework for columnar compression, and the fastest FOSS columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux Foundation.

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
3843
价值分
2040
活跃状态
活跃

语言占比

C
C++
CMake
CSS
Cuda
HTML
Java
Makefile
Python
Rust
Scala
Shell
TypeScript

Release

README

🌪️ Vortex

Build Status OpenSSF Best Practices Documentation CodSpeed Badge Crates.io PyPI - Version Maven - Version codecov Cite

Join the community on Slack! | Documentation | Performance Benchmarks

If you are interested in closer collaboration, please email [email protected]

Overview

Vortex is a next-generation columnar file format and toolkit designed for high-performance data processing. It is the fastest and most extensible format for building data systems backed by object storage. It provides:

  • Blazing Fast Performance

    • 100x faster random access reads (vs. modern Apache Parquet)
    • 10-20x faster scans
    • 5x faster writes
    • Similar compression ratios
    • Efficient support for wide tables with zero-copy/zero-parse metadata
  • Extensible Architecture

    • Modeled after Apache DataFusion’s extensible approach
    • Pluggable encoding system, type system, compression strategy, & layout strategy
    • Zero-copy compatibility with Apache Arrow
  • Open Source, Neutral Governance

    • A Linux Foundation (LF AI & Data) Project
    • Apache-2.0 Licensed
  • Integrations

    • Arrow, DataFusion, DuckDB, Spark, Pandas, Polars, & more
    • Apache Iceberg (coming soon)

🟢 Development Status: Library APIs may change from version to version, but we now consider the file format stable. From release 0.36.0, all future releases of Vortex should maintain backwards compatibility of the file format (i.e., be able to read files written by any earlier version >= 0.36.0).

Key Features

Core Capabilities

  • Logical Types - Clean separation between logical schema and physical layout
  • Zero-Copy Arrow Integration - Seamless conversion to/from Apache Arrow arrays
  • Extensible Encodings - Pluggable physical layouts with built-in optimizations
  • Cascading Compression - Support for nested encoding schemes
  • High-Performance Computing - Optimized compute kernels for encoded data
  • Rich Statistics - Lazy-loaded summary statistics for optimization

Technical Architecture

Logical vs Physical Design

Vortex strictly separates logical and physical concerns:

  • Logical Layer: Defines data types and schema
  • Physical Layer: Handles encoding and storage implementation
  • Built-in Encodings: Compatible with Apache Arrow’s memory format
  • Extension Encodings: Optimized compression schemes (RLE, dictionary, etc.)

Quick Start

Installation

Rust Crate

All features are exported through the main vortex crate.

cargo add vortex
Python Package
uv add vortex-data
Command Line UI (vx)

For browsing the structure of Vortex files, you can use the vx command-line tool.

# Install pre-built binary (fast, recommended)
cargo binstall vortex-tui

# Or build from source
cargo install vortex-tui --locked

# Or run via Python without installing
uvx --from vortex-data vx --help

# Usage
vx browse <file>

Development Setup

Prerequisites (macOS)
# Optional but recommended dependencies
brew install flatbuffers protobuf  # For .fbs and .proto files
brew install duckdb               # For benchmarks

# Install Rust toolchain
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
# or
brew install rustup

# Initialize submodules
git submodule update --init --recursive

# Setup dependencies with uv
uv sync --all-packages

See the development workflows for Python binding and documentation development, including Maturin rebuilds, targeted tests, and documentation checks.

rust-toolchain.toml pins the toolchain used for development and CI, and is kept on the latest stable release. Building Vortex as a dependency only requires a toolchain that satisfies the Rust version compatibility policy.

Benchmarking

Use vx-bench to run benchmarks comparing engines (DataFusion, DuckDB) and formats (Parquet, Vortex):

# Install the benchmark orchestrator
uv tool install "bench_orchestrator @ ./bench-orchestrator/"

# Run TPC-H benchmarks
vx-bench run tpch --engine datafusion,duckdb --format parquet,vortex

# Compare results
vx-bench compare --run latest

See bench-orchestrator/README.md for full documentation.

Performance Optimization

For optimal performance, we suggest using MiMalloc:

#[global_allocator]
static GLOBAL_ALLOC: MiMalloc = MiMalloc;

Project Information

Rust Version Compatibility Policy

The policy: Vortex supports the four most recent stable minor releases. Writing the latest stable release as 1.N, that means 1.N, 1.N-1, 1.N-2, and 1.N-3 all build Vortex, so the three minor releases older than the latest stable release. Only the minor version is constrained; Minimum Supported Rust Version (MSRV) declared in Cargo.toml must be no newer than 1.N-3, patch releases are never a factor.

An MSRV older than 1.N-3 is always acceptable — supporting extra releases cannot break the guarantee. An MSRV newer than 1.N-3 does not meet the policy. For example, once 1.98 is the latest stable release:

Declared MSRV Status
1.94 or older Acceptable — supports more releases than required
1.95 Exactly on policy
1.96 or newer Does not meet the policy

The MSRV is raised in occasional deliberate steps rather than on every Rust release, so it drifts relative to that bound.

How the policy is applied:

  • The MSRV is declared once, as rust-version in the root Cargo.toml, and inherited by every crate in the workspace. That value, not this document, is the source of truth.
  • The toolchain pinned in rust-toolchain.toml tracks the latest stable release and is independent of the MSRV. It is what contributors and most CI jobs build with.
  • CI enforces the declared MSRV in the Rust (MSRV) job, which builds the publishable crates with exactly that toolchain. When it fails, the first choices are to express the code without the newer Rust feature, or to hold back the dependency update that raised the requirement. Raising rust-version is a last resort.

License

Licensed under the Apache License, Version 2.0.

Governance

Vortex is an independent open-source project and not controlled by any single company. The Vortex Project is a sub-project of the Linux Foundation Projects. The governance model is documented in CONTRIBUTING.md and is subject to the terms of the Technical Charter.

Contributing

Please do read CONTRIBUTING.md before you contribute.

Reporting Vulnerabilities

If you discover a security vulnerability, please email [email protected]. See SECURITY.md for our full security policy, including emergency reporting and CRA stewardship.

Trademarks

Copyright © Vortex a Series of LF Projects, LLC. For terms of use, trademark policy, and other project policies please see https://lfprojects.org

Acknowledgments

The Vortex project benefits enormously from groundbreaking work from the academic & open-source communities.

Research in Vortex

Vortex in Research

  • Anyblox - A Framework for Self-Decoding Datasets
  • F3 - Open-Source Data File Format for the Future

Open Source Inspiration

Thanks to all contributors who have shared their knowledge and code with the community! 🚀

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