How Machine Learning Transforms SQL Performance Anomaly Diagnosis
This article summarizes Professor Cai Peng's presentation on diagnosing online database performance anomalies, covering traditional rule‑based and statistical root‑cause SQL methods, novel learning‑based techniques such as adaptive time‑window selection and multi‑metric analysis, experimental results, and real‑world case studies.
