Query Optimization by Quantifier Elimination
Summary: Query optimization via quantifier elimination for nested queries; reframes optimization as logical elimination to produce efficient plans. Demonstrates asymptotic gains and provides a foundation for aggregation-based techniques previously poorly understood. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Christoph Koch (EPFL)
- 2. Peter Lindner (EPFL)
BibTeX Citation
@inproceedings{koch_pods24,
address = {New York, NY, USA},
series = {{PODS} '24},
title = {{Query Optimization by Quantifier Elimination}},
url = {https://dl.acm.org/doi/10.1145/3651607},
doi = {10.1145/3651607},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Koch, Christoph and Lindner, Peter},
year = {2024}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 95 | Of Nests and Trees: A Unified Approach to Processing Queries That Contain Nested Subqueries, Aggregates, and Quantifiers | 1987 | VLDB | 0.00034607909 |
| 129 | Optimization of Nested SQL Queries Revisited | 1987 | SIGMOD | 0.0003068101 |
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