做数据系统或 AI 基础设施的开发者，可以从 SmithDB 的架构思路中直接学到如何用 DataFusion 和 Vortex 搭建高性能查询引擎，值得点开看看具体实现。
LangChain 的 Ankush Gola 分享了构建 SmithDB 背后的技术细节，核心依赖两个开源项目：Apache DataFusion 和 Vortex。DataFusion 是一个基于 Rust 的可扩展查询引擎，团队为其定制了执行计划以适配工作负载和存储后端。Vortex 则是一个可扩展文件格式，支持为不同列自定义布局、编码和分块策略。这两个项目对于关注现代数据系统的开发者来说值得深入研究。
Behind the scenes of SmithDB with @ankush_gola11 ⤵️
Behind the scenes of SmithDB with @ankush_gola11 ⤵️ Ankush Gola @ankush_gola11 We leveraged two amazing open source projects when building SmithDB. One is @ApacheDataFusio : an extensible Rust based query engine. We built custom execution plans specifically tuned for our workloads and storage backend, and DataFusion made it straightforward to plumb everything together. The other is @vortexdotdev : an extensible file format that allows you to build custom layouts with specific encoding and chunking strategies for different columns. I would highly recommend checking out both of these projects if you're interested in modern data systems. 🔗 View Quoted Tweet 💬 3 🔄 4 ❤️ 19 👀 4196 📊 4 ⚡
- berryxia05-16 23:31原文