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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
5767
Venue
SIGMOD
Year
2019
Pagerank
0.00010319105
Overall Rank
1,856 | 87.11%
DOI
10.1145/3299869.3324957

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Showing 7 of 57 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
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059446482
101 The Case for Learned Index Structures 2018 SIGMOD 0.00049778866
181 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036970794
183 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036859633
208 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00034478612
237 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00031727601
250 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00030640525
258 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.00030196528
283 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00029024583
285 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00028978423
371 Self-Driving Database Management Systems 2017 CIDR 0.00025382677
407 Database Cracking 2007 CIDR 0.00023941779
454 An Overview of Query Optimization in Relational Systems 1998 PODS 0.00022796106
495 Automatic SQL Tuning in Oracle 10g 2004 VLDB 0.00021712703
517 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00021193179
661 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00018488168
662 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.00018478597
716 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.00017623897
841 Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering 2002 VLDB 0.00015987128
1,017 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00014627121
1,697 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00010859294
1,756 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00010659753
1,801 H2O: A Hands-free Adaptive Store 2014 SIGMOD 0.00010485628
2,050 Automatically Indexing Millions of Databases in Microsoft Azure SQL Database 2019 SIGMOD 9.6883066e-05
2,153 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 9.418541e-05
2,361 Merging What’s Cracked, Cracking What’s Merged: Adaptive Indexing in Main-Memory Column-Stores 2011 VLDB 8.9648608e-05
2,467 CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads 2011 VLDB 8.7264908e-05
2,623 Goal-Oriented Buffer Management Revisited* 1996 SIGMOD 8.4368672e-05
2,834 Automatic Physical Design Tuning: Workload as a Sequence 2006 SIGMOD 8.0468556e-05
3,402 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.134261e-05
4,160 Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? 2017 SIGMOD 6.3886736e-05
5,114 Columnstore and B+ tree – Are Hybrid Physical Designs Important? 2018 SIGMOD 5.6813929e-05
5,676 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 5.3768269e-05
7,776 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 4.6493147e-05
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