AniPQO: Almost Non-intrusive Parametric Query Optimization for Nonlinear Cost Functions
Summary: AniPQO is a heuristic parametric query optimization technique for nonlinear cost functions. It is almost non-intrusive, reuses an existing optimizer with minor modifications, scales to four parameters, and yields region-aware plans that perform well on TPC-D. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arvind Hulgeri (Indian Institute of Technology Mumbai)
- 2. S. Sudarshan (Indian Institute of Technology Mumbai)
BibTeX Citation
@article{hulgeri_vldb03,
title = {{AniPQO: Almost Non-intrusive Parametric Query Optimization for Nonlinear Cost Functions}},
author = {Hulgeri, Arvind and Sudarshan, S.},
journal = {PVLDB},
series = {{VLDB} '03},
doi = {10.1016/B978-012722442-8/50073-2},
url = {https://doi.org/10.1016/B978-012722442-8/50073-2},
year = {2003}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 289 | Optimization of Dynamic Query Evaluation Plans | 1994 | SIGMOD | 0.0002196543 |
| 476 | Dynamic Query Evaluation Plans | 1989 | SIGMOD | 0.00017640534 |
| 792 | Parametric Query Optimization | 1992 | VLDB | 0.00013942753 |
| 1,122 | Least Expected Cost Query Optimization: An Exercise in Utility | 1999 | PODS | 0.0001193884 |
| 1,298 | Parametric Query Optimization for Linear and Piecewise Linear Cost Functions | 2002 | VLDB | 0.00011120288 |
| 1,449 | Design and Analysis of Parametric Query Optimization Algorithms | 1998 | VLDB | 0.00010620564 |
| 1,789 | Plan Selection based on Query Clustering | 2002 | VLDB | 9.6293635e-05 |
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