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AI Meets AI: Leveraging Query Executions to Improve Index Recommendations

Summary: Replaces optimizer-cost plan comparison in index tuning with an ML classifier predicting cheaper plans across configs. Integrates with advanced tuners, delivering up to 5x fewer errors on benchmarks and real workloads, reducing cost regressions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hc46501f01faf95e4
Venue
SIGMOD
Year
2019
Pagerank
0.00011226878
Overall Rank
1,279 | 91.41%
DOI
10.1145/3299869.3324957

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ding_sigmod19,
        title = {{AI Meets AI: Leveraging Query Executions to Improve Index Recommendations}},
        author = {Ding, Bailu and Das, Sudipto and Marcus, Ryan and Wu, Wentao and Chaudhuri, Surajit and Narasayya, Vivek R.},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3324957},
        url = {https://dl.acm.org/doi/10.1145/3299869.3324957},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 59 citing papers.

Rank Citing Paper Year Venue Pagerank
362 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019989474
1,250 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00011339256
1,397 Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms 2020 VLDB 0.00010789242
1,515 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 0.00010417728
1,516 Automatically Indexing Millions of Databases in Microsoft Azure SQL Database 2019 SIGMOD 0.00010402594
2,207 Magpie: Python at Speed and Scale using Cloud Backends 2021 CIDR 8.8487039e-05
2,210 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.8257742e-05
2,250 QueryFormer: A Tree Transformer Model for Query Plan Representation 2022 VLDB 8.7533306e-05
2,275 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.7090584e-05
3,563 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.2042148e-05
3,645 UDO: Universal Database Optimization using Reinforcement Learning 2021 VLDB 7.1397796e-05
3,949 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 6.9052796e-05
4,202 Kepler: Robust Learning for Faster Parametric Query Optimization 2023 SIGMOD 6.7374091e-05
4,258 LEON: A New Framework for ML-Aided Query Optimization 2023 VLDB 6.6994722e-05
4,457 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.5913732e-05
4,711 Learned Index Benefits: Machine Learning Based Index Performance Estimation 2022 VLDB 6.4573842e-05
4,741 Machine Learning for Databases 2021 VLDB 6.4410027e-05
4,968 Budget-aware Index Tuning with Reinforcement Learning 2022 SIGMOD 6.3348803e-05
5,126 Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach 2020 SIGMOD 6.261175e-05
5,158 Facilitating SQL Query Composition and Analysis 2020 SIGMOD 6.2492918e-05
5,194 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.2353557e-05
5,214 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.2248104e-05
5,456 Eraser: Eliminating Performance Regression on Learned Query Optimizer 2024 VLDB 6.1239873e-05
5,481 A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies 2024 VLDB 6.1125124e-05
5,674 HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning 2023 VLDB 6.0430252e-05
5,871 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 5.9639223e-05
5,902 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 5.9536872e-05
5,974 Towards instance-optimized data systems 2021 VLDB 5.9305575e-05
6,105 Breaking It Down: An In-depth Study of Index Advisors 2024 VLDB 5.8860941e-05
6,141 Expand your Training Limits! Generating Training Data for ML-based Data Management 2021 SIGMOD 5.8733296e-05
6,726 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.6948731e-05
6,753 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6904085e-05
7,217 Refactoring Index Tuning Process with Benefit Estimation 2024 VLDB 5.5834823e-05
7,236 RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems 2025 VLDB 5.5790509e-05
7,363 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 5.5418564e-05
7,764 DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger 2024 VLDB 5.4564979e-05
7,806 Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward 2021 VLDB 5.4500623e-05
7,900 DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning 2022 VLDB 5.4303143e-05
7,977 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.4142519e-05
8,771 Automatic Indexing in Oracle 2025 VLDB 5.2806451e-05
9,671 Robustness of Updatable Learning-based Index Advisors against Poisoning Attack 2024 SIGMOD 5.1448657e-05
9,720 APQO: An Adaptive Framework for Parametric Query Optimization 2026 SIGMOD 5.1349531e-05
9,781 Optimizing Dataflow Systems for Scalable Interactive Visualization 2024 SIGMOD 5.1300393e-05
9,790 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 5.1260323e-05
9,919 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 5.1103839e-05
9,956 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 5.1038322e-05
10,287 AdaChain: A Learned Adaptive Blockchain 2023 VLDB 5.0448662e-05
10,290 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD 5.0431863e-05
10,297 Wred: Workload Reduction for Scalable Index Tuning 2024 SIGMOD 5.0430432e-05
10,412 Are Learned DBMS Components Robust to Workload Drift?: [Experiments & Analysis] 2026 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 34 of 34 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 0.00061066921
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036684414
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034106982
123 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00030762995
151 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028672526
187 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.0002592488
195 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025628849
224 Self-Driving Database Management Systems 2017 CIDR 0.00024013745
232 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00023792809
243 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023358891
253 Database Cracking 2007 CIDR 0.00023042111
272 An Overview of Query Optimization in Relational Systems 1998 PODS 0.00022509573
378 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00019549382
491 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.00017413042
508 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00017089907
529 Automatic SQL Tuning in Oracle 10g 2004 VLDB 0.00016866092
629 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.00015429949
682 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.0001481781
780 Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering 2002 VLDB 0.00014025444
1,200 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00011563303
1,257 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011310561
1,380 H2O: A Hands-free Adaptive Store 2014 SIGMOD 0.00010862758
1,516 Automatically Indexing Millions of Databases in Microsoft Azure SQL Database 2019 SIGMOD 0.00010402594
1,605 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 0.00010093796
1,815 CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads 2011 VLDB 9.5791737e-05
1,836 Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores 2011 VLDB 9.535551e-05
2,437 Goal-Oriented Buffer Management Revisited* 1996 SIGMOD 8.4668531e-05
2,775 Automatic Physical Design Tuning: Workload as a Sequence 2006 SIGMOD 8.0312847e-05
2,891 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.9021718e-05
3,599 Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? 2017 SIGMOD 7.1773938e-05
4,690 Columnstore and B+ tree – Are Hybrid Physical Designs Important? 2018 SIGMOD 6.4687131e-05
5,470 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 6.1182634e-05
7,072 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 5.6074688e-05
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