Efficient Enumeration of Recursive Plans in Transformation-based Query Optimizers
Summary: Introduces RLQDAG, a generalization of LQDAG that captures and transforms recursive queries via annotated equivalence nodes, grouped rewrite rules operating on subterm sets, and incremental annotation maintenance. Formalized semantics and an implementation show much faster recursive-plan enumeration. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Amela Fejza (CNRS; Grenoble Institute of Engineering; Grenoble Institute of Technology; INRIA; University Grenoble Alpes)
- 2. Pierre Genevès (CNRS; Grenoble Institute of Engineering; Grenoble Institute of Technology; INRIA; University Grenoble Alpes)
- 3. Nabil Layaïda (CNRS; Grenoble Institute of Engineering; Grenoble Institute of Technology; INRIA; University Grenoble Alpes)
BibTeX Citation
@article{fejza_vldb24,
title = {{Efficient Enumeration of Recursive Plans in Transformation-based Query Optimizers}},
author = {Fejza, Amela and Genevès, Pierre and Layaïda, Nabil},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3095--3108},
doi = {10.14778/3681954.3681986},
url = {https://doi.org/10.14778/3681954.3681986},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,832 | ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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