A Systematic Review of Modern Machine Learning in Query Optimization
Traditional query optimization struggles with modern, heterogeneous workloads. This PRISMA-guided survey examines 27 recent studies (2018–2025) on machine learning for query optimization, addressing two research questions: (RQ1) how learning-based approaches intervene across the classical optimization pipeline and what...