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APQO: An Adaptive Framework for Parametric Query Optimization

Summary: APQO: adaptive PQO that models query parameters and plan embeddings to handle variable/dynamic plan caches vs. fixed-plan PQO. Combines an offline pre-trained foundation model, hybrid data augmentation, and lightweight online calibration to adapt to distribution shifts, improving cache-hit rates and reducing query latency. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7547
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,343 | 29.04%
DOI
10.1145/3769761

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{li_sigmod26,
        title = {{APQO: An Adaptive Framework for Parametric Query Optimization}},
        author = {Li, Sijia and Cai, Peng and Zhang, Zhifan and Hu, Huiqi and Zhang, Rong and Zhou, Xuan and Xu, Quanqing and Yang, Chuanhui},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3769761},
        url = {https://dl.acm.org/doi/10.1145/3769761},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,539 Pisco: An Isolation Bug Case Reduction and Deduplication Framework 2026 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 26 of 26 cited papers.

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

Rank Cited Paper Year Venue Pagerank
18 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059284255
378 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019638121
465 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001803934
563 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001650812
984 Analyzing Plan Diagrams of Database Query Optimizers 2005 VLDB 0.00012825643
1,122 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.0001209124
1,241 Balsa: Learning a Query Optimizer Without Expert Demonstrations 2022 SIGMOD 0.00011521639
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
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
2,355 QueryFormer: A Tree Transformer Model for Query Plan Representation 2022 VLDB 8.7022189e-05
2,812 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 8.0979597e-05
2,888 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.9941489e-05
2,918 OceanBase: A 707 Million tpmC Distributed Relational Database System 2022 VLDB 7.9649716e-05
3,506 Identifying Robust Plans through Plan Diagram Reduction 2008 VLDB 7.3581509e-05
3,513 Variance Aware Optimization of Parameterized Queries 2010 SIGMOD 7.354613e-05
3,953 Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload 2021 SIGMOD 6.996368e-05
4,470 Kepler: Robust Learning for Faster Parametric Query Optimization 2023 SIGMOD 6.6817353e-05
4,616 On the Production of Anorexic Plan Diagrams 2007 VLDB 6.6048588e-05
5,281 Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees 2017 SIGMOD 6.2842378e-05
5,394 Leveraging Query Logs and Machine Learning for Parametric Query Optimization 2022 VLDB 6.2336084e-05
6,735 Join Order Selection with Deep Reinforcement Learning: Fundamentals, Techniques, and Challenges 2023 VLDB 5.7878855e-05
8,305 PARQO: Penalty-Aware Robust Plan Selection in Query Optimization 2024 VLDB 5.4568571e-05
8,984 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.3395569e-05
11,103 RankPQO: Learning-to-Rank for Parametric Query Optimization 2025 VLDB 5.093636e-05
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3 1,645 AniPQO: Almost Non-intrusive Parametric Query Optimization for Nonlinear Cost Functions 2003 VLDB
4 4,470 Kepler: Robust Learning for Faster Parametric Query Optimization 2023 SIGMOD
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8 11,103 RankPQO: Learning-to-Rank for Parametric Query Optimization 2025 VLDB
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