How to Optimize SQL Queries? A Comparison Between Split, Holistic, and Hybrid Approaches
Summary: Contrasts split vs holistic query optimization across full QEP decisions (join orders, access methods, physical operator implementations), highlighting stark optimization-time vs plan-quality tradeoffs. Proposes a top-k hybrid that recovers holistic optima with optimization time near split, validated experimentally in the mutable research DB. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Luca Gretscher (Saarland University)
- 2. Jens Dittrich (Saarland University)
BibTeX Citation
@article{gretscher_vldb25,
title = {{How to Optimize SQL Queries? A Comparison Between Split, Holistic, and Hybrid Approaches}},
author = {Gretscher, Luca and Dittrich, Jens},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {3910--3922},
doi = {10.14778/3749646.3749663},
url = {https://doi.org/10.14778/3749646.3749663},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,559 | OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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