Survey on AI Powered New Techniques for Query Processing and Optimization

Abstract

As one of the most challenging problems in data management, query processing and optimization are always widely concerned by researchers. However, it is very difficult for traditional techniques to meet the diverse requirements of modern database system due to the needs of hand-tuning for specific workloads and datasets. Inspired by advances in applying artificial intelligence (AI) to multi-field researches, recently, the AI powered new techniques for query processing and optimization have been proposed and made significant success. In view of these researches, this paper first presents the main tasks of the AI powered new techniques of query processing and optimization, and analyzes the differences between the new tasks and traditional AI tasks. Second, the recent research progress is reviewed, and the main advantages and application bottlenecks are summarized. Third, this paper discusses the main challenges of the AI powered new techniques of query processing and optimization. Finally, the future research directions are prospected.

Keywords

• query optimization
• artificial intelligence
• machine learning
• deep learning
• database systems