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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 9 of 59 citing papers.

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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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