The content explores the implementation and optimization of B-Tree data structures in database storage engines, focusing on how B-Trees address the challenges of disk IO and memory constraints. The article highlights the benefits of B-Trees in reducing disk accesses and maximizing key comparisons per seek. It discusses clever optimizations such as key truncation, overflow pages, and sibling pointers to improve storage efficiency and query performance. The content emphasizes the importance of concrete implementation details over abstract concepts and recommends reading Database Internals for a comprehensive understanding of B-Trees and their real-world implications on database performance and usability.
https://benjamincongdon.me/blog/2021/08/17/B-Trees-More-Than-I-Thought-Id-Want-to-Know/