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A Learned Query Rewrite System

Proceedings of the VLDB Endowment, 2023
Query rewriting is a challenging task that transforms a SQL query to improve its performance while maintaining its result set. However, it is difficult to rewrite SQL queries, which often involve complex logical structures, and there are numerous ...
Xuanhe Zhou   +5 more
semanticscholar   +1 more source

WeTune: Automatic Discovery and Verification of Query Rewrite Rules

SIGMOD Conference, 2022
Query rewriting transforms a relational database query into an equivalent but more efficient one, which is crucial for the performance of database-backed applications. Such rewriting relies on pre-specified rewrite rules.
Zhaoguo Wang   +8 more
semanticscholar   +1 more source

A Learned Query Rewrite System using Monte Carlo Tree Search

Proceedings of the VLDB Endowment, 2021
Query rewrite transforms a SQL query into an equivalent one but with higher performance. However, SQL rewrite is an NP-hard problem, and existing approaches adopt heuristics to rewrite the queries. These heuristics have two main limitations. First, the
Xuanhe Zhou   +3 more
semanticscholar   +1 more source

Rewrite the Stars

Computer Vision and Pattern Recognition
Recent studies have drawn attention to the untapped potential of the “star operation” (element-wise multiplication) in network design. While intuitive explanations abound, the foundational rationale behind its application remains largely unexplored.
Xu Ma   +4 more
semanticscholar   +1 more source

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Proceedings of the VLDB Endowment
Query rewrite, which aims to improve query efficiency by altering an SQL query's structure without changing its result, has been an important research problem.
Zhaodonghui Li   +4 more
semanticscholar   +1 more source

R-Bot: An LLM-based Query Rewrite System

Proceedings of the VLDB Endowment
Query rewrite is essential for optimizing SQL queries to improve their execution efficiency without changing their results. Traditionally, this task has been tackled through heuristic and learning-based methods, each with its limitations in terms of ...
Zhaoyan Sun, Xuanhe Zhou, Guoliang Li
semanticscholar   +1 more source

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