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Esc: An Early-Stopping Checker for Budget-aware Index Tuning

Summary: Identifies diminishing returns in budget-aware index tuning caused by expensive what-if optimizer calls and proposes early stopping via a user-specified tolerable-loss threshold that projects the impact of the remaining budget. Introduces Esc, a low-overhead checker that halts tuning when projected quality loss is below the threshold, drastically reducing what-if calls on benchmarks and real workloads with minimal or zero index-quality degradation. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13796
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,543 | 26.66%
DOI
10.14778/3718057.3718059

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,125 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 4.1945683e-05
10,205 RIB: Robust Learning-based Index Benefit Estimation 2026 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 30 of 30 cited papers.

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

Rank Cited Paper Year Venue Pagerank
158 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00040071492
237 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00031726304
333 Neo: A Learned Query Optimizer 2019 VLDB 0.00027206884
516 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00021196031
806 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00016434274
884 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00015654004
1,017 Automatic Physical Database Tuning: A Relaxation-based Approach 2005 SIGMOD 0.00014634307
1,019 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00014625603
1,758 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00010655546
1,855 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00010315245
2,020 Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms 2020 VLDB 9.762624e-05
2,470 CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads 2011 VLDB 8.7333019e-05
2,484 Efficient Use of the Query Optimizer for Automated Physical Design 2007 VLDB 8.6864279e-05
3,169 QueryFormer: A Tree Transformer Model for Query Plan Representation 2022 VLDB 7.4498425e-05
3,625 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 6.9055212e-05
3,828 Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction 2022 VLDB 6.7208524e-05
4,088 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB 6.4603918e-05
5,060 Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications 2009 VLDB 5.7273583e-05
5,337 Learned Index Benefits: Machine Learning Based Index Performance Estimation 2022 VLDB 5.5635208e-05
5,637 Database Workload Characterization with Query Plan Encoders 2022 VLDB 5.3979505e-05
5,686 Budget-aware Index Tuning with Reinforcement Learning 2022 SIGMOD 5.3712312e-05
5,924 HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning 2023 VLDB 5.2719183e-05
6,278 Uncertainty Aware Query Execution Time Prediction 2014 VLDB 5.1309442e-05
6,366 ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning 2022 SIGMOD 5.0943443e-05
6,750 Breaking It Down: An In-depth Study of Index Advisors 2024 VLDB 4.9392771e-05
7,336 Refactoring Index Tuning Process with Benefit Estimation 2024 VLDB 4.7599411e-05
7,776 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 4.6537231e-05
8,041 DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning 2022 VLDB 4.5998045e-05
9,929 Wred: Workload Reduction for Scalable Index Tuning 2024 SIGMOD 4.2510122e-05
9,930 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 4.2510122e-05
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1,855 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00010315245
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8,041 DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning 2022 VLDB 4.5998045e-05
9,930 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 4.2510122e-05
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