Min-Ming Lee

SQL Optimization in e-Commerce Platforms Using Large Language Models: A Multi-Pattern Query Empirical Study

Results demonstrate that implementing the LLM's recommended query, indexing, and schema-level changes yielded performance improvements ranging from 43% to 94% across test cases, whereby temporal aggregations yield 89% average improvement while multi-dimensional grouping nets 86% improvement on the whole system.