DBScholar

Back to papers

Leveraging Query Logs and Machine Learning for Parametric Query Optimization

Summary: Decouples PQO cache population from plan selection: log-driven optimization compactly chooses cached plans, while ML rapidly maps parameter instances to the best plan. An execution-aware selector also mitigates optimizer cost-estimate errors, delivering low suboptimality and microsecond-scale latency. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13098
Venue
VLDB
Year
2022
Pagerank
6.2336084e-05
Overall Rank
5,394 | 63.00%
DOI
10.14778/3494124.3494126

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{vaidya_vldb22,
        title = {{Leveraging Query Logs and Machine Learning for Parametric Query Optimization}},
        author = {Vaidya, Kapil and Dutt, Anshuman and Narasayya, Vivek and Chaudhuri, Surajit},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {3},
        pages = {401--413},
        doi = {10.14778/3494124.3494126},
        url = {https://doi.org/10.14778/3494124.3494126},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
289 Optimization of Dynamic Query Evaluation Plans 1994 SIGMOD 0.00022278876
378 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019638121
474 Dynamic Query Evaluation Plans 1989 SIGMOD 0.00017894953
697 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014888851
984 Analyzing Plan Diagrams of Database Query Optimizers 2005 VLDB 0.00012825643
1,104 Least Expected Cost Query Optimization: An Exercise in Utility 1999 PODS 0.00012157634
1,321 Parametric Query Optimization for Linear and Piecewise Linear Cost Functions 2002 VLDB 0.00011162369
1,470 Design and Analysis of Parametric Query Optimization Algorithms 1998 VLDB 0.00010676869
1,645 AniPQO: Almost Non-intrusive Parametric Query Optimization for Nonlinear Cost Functions 2003 VLDB 0.00010129244
1,795 Least Expected Cost Query Optimization: What Can We Expect? 2002 PODS 9.738718e-05
2,944 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.9335187e-05
3,162 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.6785856e-05
3,513 Variance Aware Optimization of Parameterized Queries 2010 SIGMOD 7.354613e-05
4,616 On the Production of Anorexic Plan Diagrams 2007 VLDB 6.6048588e-05
4,817 Efficiently Approximating Query Optimizer Plan Diagrams 2008 VLDB 6.4944225e-05
5,281 Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees 2017 SIGMOD 6.2842378e-05
5,770 Closing The Query Processing Loop in Oracle 11g 2008 VLDB 6.0934173e-05
7,223 Dynamic Plan Generation for Parameterized Queries 2009 SIGMOD 5.6676987e-05
Previous Page 1 / 1 Next

Semantically Similar Papers