Why Database Query Execution Plans Sometimes Deceive You

Lucas and Luna dig into a frustrating reality: database query execution plans — the diagrams engineers use to understand why a query is slow — can be misleading or outright wrong. They walk through a real case from a mid-size SaaS company that was blind to a bad query plan for months, costing thousands in wasted compute. They explain the key gap between estimated vs. actual row counts, why outdated statistics cause trouble, and two practical strategies to protect yourself: forcing plan recompilation and using query store features available in PostgreSQL 17 and SQL Server 2025. No hype, just a concrete debugging workflow that listeners can apply in their own environments. #Database #QueryExecutionPlan #SQLPerformance #PostgreSQL17 #SQLServer2025 #DatabaseOptimization #EstimatedVsActual #QueryStore #CardinalityEstimation #DatabaseTuning #PerformanceDebugging #SaaSInfrastructure #TechPodcast #DatabaseTech #FexingoBusiness #BusinessPodcast #DataEngineering #QueryPlanAnalysis Keep every episode free: buymeacoffee.com/fexingo