Why Database Indexes Become Worse Than Useless

Lucas and Luna dive into the surprisingly common problem of database index bloat — when indexes intended to speed up queries actually slow them down. They explore a real-world case from a mid-sized e-commerce company whose poorly managed indexes caused query times to spike from 50 milliseconds to over 8 seconds during Black Friday traffic. Along the way, they unpack how B-tree fragmentation, unused indexes, and non-selective keys waste RAM and disk I/O, and why dropping indexes can be the best performance optimization. The episode also touches on diagnostic tools like pg_stat_user_indexes and the tradeoff between index maintenance costs and read performance. A quick donation segment reminds listeners that listener support via Buy Me a Coffee keeps the show ad-free. #DatabaseIndexBloat #IndexFragmentation #BTreeIndex #QueryPerformance #DatabaseOptimization #PostgreSQL #MySQL #IndexMaintenance #BlackFridayCrash #ReadVsWriteOptimization #pg_stat_user_indexes #UnusedIndexes #DatabaseAdministration #Technology #SQL #DataStorage #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo