query-planning

ExplainDB 是一个以可理解性为目标的教学数据库系统，包含 Jupyter notebook 教程和用 Python 实现的 didactic DBMS，配套萨尔大学 Jens Dittrich 教授的数据库系统课程。

Modal and Carnegie Mellon University's Full Stack Data Lab developed Quail, an inference engine that integrates query planning with inference to achieve over a billion tokens processed per minute on a single H100 GPU, outperforming vLLM by 10x in specific scenarios.

A blog post from PlanetScale discusses the challenges of query planning in massive, sharded databases, aiming to educate readers on database query planners.