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Efficient Query Re-optimization with Judicious Subquery Selections

Summary: QuerySplit re-optimization generates subqueries from the logical plan, not the global plan. A cost function favors small, low-damage subqueries to delay large joins; in PostgreSQL, it yields 35% faster JOB vs baselines, within 4% of optimal. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hb060cf953cc6907d
Venue
SIGMOD
Year
2023
Pagerank
5.3827384e-05
Overall Rank
8,170 | 45.09%
DOI
10.1145/3589330

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhao_sigmod23,
        title = {{Efficient Query Re-optimization with Judicious Subquery Selections}},
        author = {Zhao, Junyi and Zhang, Huanchen and Gao, Yihan},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589330},
        url = {https://dl.acm.org/doi/10.1145/3589330},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank Citing Paper Year Venue Pagerank
4,945 Debunking the Myth of Join Ordering: Toward Robust SQL Analytics 2025 SIGMOD 6.3418058e-05
6,824 ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation 2024 SIGMOD 5.670071e-05
7,163 Cost-Intelligent Data Analytics in the Cloud 2024 CIDR 5.5935766e-05
10,311 Data Chunk Compaction in Vectorized Execution 2025 SIGMOD 5.0376863e-05
10,319 Intra-Query Runtime Elasticity for Cloud-Native Data Analysis 2025 SIGMOD 5.0362412e-05
10,343 An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL 2025 SIGMOD 5.0176429e-05
10,991 A Portable Middleware for Plan-Based Adaptive Query Processing 2026 VLDB 4.9769913e-05
11,401 Accordion: Balancing Performance and Cost in Cloud-Native Data Analysis with Intra-Query Runtime Elasticity 2025 VLDB 4.9769913e-05
11,585 Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing 2024 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 29 of 29 cited papers.

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

Rank Cited Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061067652
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.000408505
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035876108
91 On the Propagation of Errors in the Size of Join Results 1991 SIGMOD 0.00034748721
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034099838
144 Neo: A Learned Query Optimizer 2019 VLDB 0.00029090793
149 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00028977821
272 An Overview of Query Optimization in Relational Systems 1998 PODS 0.0002251422
318 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021166957
406 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019050182
462 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00017836105
471 Robust Query Processing through Progressive Optimization 2004 SIGMOD 0.00017744392
510 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017059914
688 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00014749318
1,058 Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions 2011 VLDB 0.00012224038
1,065 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012202293
1,155 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011777046
1,258 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011308863
1,465 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 0.00010572023
1,509 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.00010436933
1,515 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 0.00010418766
1,580 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010177136
2,518 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 8.3532841e-05
3,208 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.5355264e-05
3,272 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 7.4711788e-05
3,983 Simplicity Done Right for Join Ordering 2021 CIDR 6.8722161e-05
4,046 Adaptive Query Processing in the Looking Glass 2005 CIDR 6.8297725e-05
6,114 Robustness Metrics for Relational Query Execution Plans 2018 VLDB 5.8796178e-05
7,603 On the Calculation of Optimality Ranges for Relational Query Execution Plans 2018 SIGMOD 5.4846849e-05
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