SlabCity: Whole-Query Optimization using Program Synthesis
Summary: SlabCity is the first rule-free, synthesis-based query rewriter, searching SQL space via query dataflows for whole-query optimization. Across four workloads and 1,000+ real queries, it rewrites more queries and produces faster plans than rule-based systems. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rui Dong (University of Michigan)
- 2. Jie Liu (University of Michigan)
- 3. Yuxuan Zhu (University of Michigan)
- 4. Cong Yan (Microsoft)
- 5. Barzan Mozafari (University of Michigan)
- 6. Xinyu Wang (University of Michigan)
BibTeX Citation
@article{dong_vldb23,
title = {{SlabCity: Whole-Query Optimization using Program Synthesis}},
author = {Dong, Rui and Liu, Jie and Zhu, Yuxuan and Yan, Cong and Mozafari, Barzan and Wang, Xinyu},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {11},
pages = {3151--3164},
doi = {10.14778/3611479.3611515},
url = {https://doi.org/10.14778/3611479.3611515},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,336 | GenRewrite: Query Rewriting via Large Language Models | 2026 | SIGMOD | 7.4137763e-05 |
| 4,385 | R-Bot: An LLM-based Query Rewrite System | 2025 | VLDB | 6.6235293e-05 |
| 8,332 | Learned Offline Query Planning via Bayesian Optimization | 2025 | SIGMOD | 5.3528188e-05 |
| 10,832 | ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling | 2026 | VLDB | 4.9793485e-05 |
| 11,375 | GRewriter: Practical Query Rewriting with Automatic Rule Set Expansion in GaussDB | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,395 | A Learned Query Rewrite System using Monte Carlo Tree Search | 2022 | VLDB |
| 2 | 6,147 | Sia: Optimizing Queries using Learned Predicates | 2021 | SIGMOD |
| 3 | 7,261 | Rule-Based Translation of Relational Queries into Iterative Programs | 1986 | SIGMOD |
| 4 | 11,798 | Demo of QueryBooster: Supporting Middleware-Based SQL Query Rewriting as a Service | 2023 | VLDB |
| 5 | 4,108 | QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting | 2023 | VLDB |
| 6 | 6,224 | Scalable Query Rewriting: A Graph-Based Approach | 2011 | SIGMOD |
| 7 | 5,158 | Facilitating SQL Query Composition and Analysis | 2020 | SIGMOD |
| 8 | 3,336 | GenRewrite: Query Rewriting via Large Language Models | 2026 | SIGMOD |
| 9 | 10,359 | Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! | 2026 | CIDR |
| 10 | 8,622 | A Learned Query Rewrite System | 2023 | VLDB |