Understanding B-Trees: The Data Structure That Powers Database Performance on Disk
By
signa11
Fresh out the oven, still warm. Top of the tray.
Summary
The article explains why B-Trees are the fundamental data structure used in databases for disk-based storage. Through a personal narrative of implementing B-Trees in Python and encountering failures, the author explores the technical reasons why binary search trees fail on disk (low fanout, poor performance) while B-Trees succeed. The content delves into database internals, comparing B-Trees to other data structures like hash maps, and examines real-world implementations like MySQL's InnoDB storage engine. The article serves as an educational deep dive into database architecture fundamentals.
Key quotes
· 4 pulledThe chapter explained why binary search trees fail on disk. Why low fanout kills performance. Why B-Trees won.
16,777,215 entries later, my tree crashed. 2^24 - 1. The right child pointer got overwritten, corrupting the entire tree. Every. Single. Time.
I was one commit away from deleting everything and just using a hash map.
Then, more out of spite than hope, I opened the InnoDB source code. MySQL. The database that powers half the internet.
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