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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
6750
Venue
SIGMOD
Year
2023
Pagerank
5.2258278e-05
Overall Rank
9,756 | 33.07%
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 8 of 8 citing papers.

Rank Citing Paper Year Venue Pagerank
5,529 Debunking the Myth of Join Ordering: Toward Robust SQL Analytics 2025 SIGMOD 6.18591e-05
6,704 ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation 2024 SIGMOD 5.797374e-05
7,589 Cost-Intelligent Data Analytics in the Cloud 2024 CIDR 5.5907048e-05
10,108 An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL 2025 SIGMOD 5.1347137e-05
10,662 Data Chunk Compaction in Vectorized Execution 2025 SIGMOD 5.093636e-05
10,768 Intra-Query Runtime Elasticity for Cloud-Native Data Analysis 2025 SIGMOD 5.093636e-05
11,031 Accordion: Balancing Performance and Cost in Cloud-Native Data Analysis with Intra-Query Runtime Elasticity 2025 VLDB 5.093636e-05
11,246 Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing 2024 VLDB 5.093636e-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
18 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059284255
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00041071971
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
89 On the Propagation of Errors in the Size of Join Results 1991 SIGMOD 0.00035031529
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
151 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00029161879
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
290 An Overview of Query Optimization in Relational Systems 1998 PODS 0.0002227038
323 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021264788
401 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019092557
465 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001803934
492 Robust Query Processing through Progressive Optimization 2004 SIGMOD 0.0001756877
513 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017190574
694 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00014911698
1,061 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00012369764
1,071 Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions 2011 VLDB 0.00012322342
1,170 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011827259
1,256 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011457194
1,499 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 0.00010564536
1,503 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 0.000105564
1,573 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010328171
1,832 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 9.6607418e-05
2,723 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 8.2049453e-05
3,162 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.6785856e-05
3,213 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 7.6328677e-05
3,959 Simplicity Done Right for Join Ordering 2021 CIDR 6.9879431e-05
3,988 Adaptive Query Processing in the Looking Glass 2005 CIDR 6.9720123e-05
6,019 Robustness Metrics for Relational Query Execution Plans 2018 VLDB 6.0060149e-05
7,495 On the Calculation of Optimality Ranges for Relational Query Execution Plans 2018 SIGMOD 5.6041473e-05
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