A Learned Query Rewrite System
Summary: Uses Monte Carlo tree search plus a learned hybrid estimator to explore the NP-hard SQL rewrite/search space, adaptively applying complex rewrite rules. Implemented in Apache Calcite; outperforms heuristic-based rewrite engines on three real datasets. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xuanhe Zhou
- 2. Guoliang Li
- 3. Jianming Wu
- 4. Jiesi Liu
- 5. Zhaoyan Sun
- 6. Xinning Zhang
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,953 | D-Bot: Database Diagnosis System using Large Language Models | 2024 | VLDB | 9.9701097e-05 |
| 7,030 | R-Bot: An LLM-based Query Rewrite System | 2025 | VLDB | 4.8518029e-05 |
| 9,372 | FEBench: A Benchmark for Real-Time Relational Data Feature Extraction | 2023 | VLDB | 4.3461481e-05 |
| 10,215 | Task Cascades for Efficient Unstructured Data Processing | 2026 | SIGMOD | 4.1905499e-05 |
| 10,768 | ParSEval: Plan-aware Test Database Generation for SQL Equivalence Evaluation | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 107 | Extensible/Rule Based Query Rewrite Optimization in Starburst | 1992 | SIGMOD | 0.00048363446 |
| 542 | Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources | 2018 | SIGMOD | 0.00020522627 |
| 2,222 | SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning | 2019 | SIGMOD | 9.2598438e-05 |
| 2,595 | WeTune: Automatic Discovery and Verification of Query Rewrite Rules | 2022 | SIGMOD | 8.4725961e-05 |
| 3,241 | A Learned Query Rewrite System using Monte Carlo Tree Search | 2022 | VLDB | 7.32744e-05 |
| 5,289 | LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning | 2022 | SIGMOD | 5.5790771e-05 |
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