AI Query Tuning Agent

SingleStore's Query Tuning Agent leverages AI to analyze slow SQL queries and debug profiles, providing prioritized, evidence-backed tuning recommendations. It automates the process of identifying bottlenecks related to distributed execution, data skew, shard key choices, sort keys, cardinality estimation, and more. The agent integrates into existing workflows like Visual Explain and the SQL Editor, offering a safer and more scalable way to optimize complex workloads by providing expert-level in-database optimization. Feedback Reoptimization (FR) is SingleStore's answer to automatic query optimization. Instead of relying solely on statistics collected before execution, FR watches what actually happens when a query runs — how many rows really flowed through each operator, how much memory was actually consumed — and uses that observed reality to generate a better plan. It corrects the map by watching where queries actually end up. FR has four stages: observe, identify, replan, and validate. The validation stage compares candidate plans against the original, adopting only those that show clear improvement. FR's impact tracks data skew, with more significant improvements on datasets with extreme skew.