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Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking

Summary: PQO for repetitive analytical templates: PLARQ reuses a precomputed plan pool via similarity-based candidate retrieval, then applies a list-wise attention ranker. Practical PostgreSQL integration, no optimizer internals changes; large speedups over PostgreSQL and prior learned optimizers. (summarized by gpt-5.4-mini on Apr 11 2026)

Paper ID
7723
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,508 | 27.91%
DOI
10.1145/3788254

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Authors

BibTeX Citation

@inproceedings{lan_sigmod26,
        title = {{Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking}},
        author = {Lan, Hai and Yu, Yang and Bao, Zhifeng and Huang, Zi and Peng, Yuwei},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3788254},
        url = {https://dl.acm.org/doi/10.1145/3788254},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 44 of 44 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
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
323 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021264788
378 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019638121
401 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019092557
465 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001803934
513 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017190574
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
1,061 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012369764
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
1,470 Design and Analysis of Parametric Query Optimization Algorithms 1998 VLDB 0.00010676869
1,712 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 9.9492299e-05
1,876 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.5717543e-05
1,988 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 9.3501502e-05
2,408 Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet 2024 VLDB 8.6154404e-05
2,420 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.605257e-05
2,452 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 8.5584e-05
2,543 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 8.4445934e-05
2,553 LLM-R^2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency 2025 VLDB 8.4283807e-05
2,822 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 8.0898536e-05
3,086 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 7.7708642e-05
3,338 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.5068221e-05
3,513 Variance Aware Optimization of Parameterized Queries 2010 SIGMOD 7.354613e-05
3,545 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 7.3249967e-05
3,688 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 7.201795e-05
3,998 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 6.9676473e-05
4,363 GenRewrite: Query Rewriting via Large Language Models 2026 SIGMOD 6.7423909e-05
4,470 Kepler: Robust Learning for Faster Parametric Query Optimization 2023 SIGMOD 6.6817353e-05
4,612 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 6.6072026e-05
4,617 Learned Cardinality Estimation for Similarity Queries 2021 SIGMOD 6.604437e-05
5,011 Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach 2020 SIGMOD 6.4020848e-05
5,277 FASTgres: Making Learned Query Optimizer Hinting Effective 2023 VLDB 6.2859099e-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
5,767 A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies 2024 VLDB 6.0945741e-05
5,792 Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2022 VLDB 6.0871213e-05
6,760 LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries 2024 SIGMOD 5.7826781e-05
8,124 Consistent and Flexible Selectivity Estimation for High-Dimensional Data 2021 SIGMOD 5.4829513e-05
9,844 Cardinality Estimation of LIKE Predicate Queries using Deep Learning 2025 SIGMOD 5.2094602e-05
10,097 SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index 2026 SIGMOD 5.1502319e-05
11,059 Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects 2025 VLDB 5.093636e-05
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