Why Database Query Plans Go Wrong Without Histograms

Lucas and Luna dive into the hidden role of histograms in database query planning. When PostgreSQL's planner assumes uniform data distribution, it can pick a disastrously slow plan — like choosing a nested loop join against a table with millions of rows. They explore real-world cases where skewed data, missing statistics, and out-of-date ANALYZE lead to queries that crawl, and how extended statistics, multi-column histograms, and careful sampling help planners make smarter choices. Learn why your database's assumptions about your data matter more than your index choices, and how a simple histogram can be the difference between a 10-millisecond query and a 10-minute one. #DatabaseHistograms #QueryOptimizer #PostgreSQL #DatabaseStatistics #QueryPlanning #DataSkew #ANALYZE #DatabasePerformance #SQL #Indexing #DatabaseInternals #TechPodcast #FexingoBusiness #BusinessPodcast #DataEngineering #DatabaseOptimization #CardinalityEstimation #DatabaseTechnology Keep every episode free: buymeacoffee.com/fexingo