Database Paper Browser

Back to papers

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
6689
Venue
SIGMOD
Year
2023
Pagerank
4.3056334e-05
Overall Rank
9,662 | 32.85%
DOI
10.1145/3589330

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Previous Page 1 / 1 Next

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
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059446482
100 On the Propagation of Errors in the Size of Join Results 1991 SIGMOD 0.00050033475
116 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00046191288
181 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036970794
203 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034868567
221 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00033182072
329 Neo: A Learned Query Optimizer 2019 VLDB 0.00027301488
454 An Overview of Query Optimization in Relational Systems 1998 PODS 0.00022796106
606 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019251186
650 Robust Query Processing through Progressive Optimization 2004 SIGMOD 0.0001865144
752 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00017138049
804 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001643674
905 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423174
1,104 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.0001398479
1,536 Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions 2011 VLDB 0.00011458359
1,699 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010848882
1,727 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00010731889
1,756 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00010659753
2,143 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 9.4437798e-05
2,167 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 9.3879598e-05
2,364 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 8.955077e-05
2,937 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 7.8552033e-05
3,455 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0760196e-05
3,725 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 6.8117015e-05
3,955 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 6.5895015e-05
4,526 Simplicity Done Right for Join Ordering 2021 CIDR 6.1079584e-05
4,618 Adaptive Query Processing in the Looking Glass 2005 CIDR 6.039398e-05
6,763 Robustness Metrics for Relational Query Execution Plans 2018 VLDB 4.9291549e-05
8,193 On the Calculation of Optimality Ranges for Relational Query Execution Plans 2018 SIGMOD 4.5575291e-05
Previous Page 1 / 1 Next

Semantically Similar Papers