AI RESEARCH
LLMIA: An Out-of-the-Box Index Advisor via In-Context Learning with LLMs
arXiv CS.AI
•
ArXi:2503.07884v2 Announce Type: replace-cross Index recommendation is crucial for optimizing database performance. However, existing heuristic- and learning-based methods often rely on inefficient exhaustive search and estimated costs, leading to low efficiency (due to the vast search space) and unsatisfactory actual latency (due to inaccurate estimations