How do you implement agentic AI for automated database query optimization?
Database query optimization agents analyze slow queries and recommend performance improvements. Configure agents with access to query execution plans, database statistics, index definitions, and query logs. The agent identifies problematic queries using execution time, resource consumption, and frequency analysis. Implement query plan analysis that detects full table scans, missing indexes, suboptimal join strategies, and unnecessary data retrieval. Generate specific optimization recommendations including index creation, query rewriting, and partitioning strategies. Implement automated testing that validates optimizations improve performance without changing query results. Track optimization impact through before and after performance metrics. Support proactive optimization that identifies potential issues from query pattern analysis before they cause visible performance degradation.