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Query Optimizers: Time to Rethink the Contract?

Summary: Rethinks the classic optimizer contract: fast, data-agnostic plan search with limited data insight. Proposes using rich usage signals and application input to guide optimization and calls for a research agenda to advance data-driven query optimization. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hdc34d082c0f5c793
Venue
SIGMOD
Year
2009
Pagerank
7.8895201e-05
Overall Rank
2,888 | 80.65%
DOI
10.1145/1559845.1559955

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chaudhuri_sigmod09,
        title = {{Query Optimizers: Time to Rethink the Contract?}},
        author = {Chaudhuri, Surajit},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559955},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559955},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 18 of 18 citing papers.

Rank Citing Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061463175
690 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014703258
1,282 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011197535
3,144 Solving the Join Ordering Problem via Mixed Integer Linear Programming 2017 SIGMOD 7.5846375e-05
3,212 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.5145409e-05
3,406 Variance Aware Optimization of Parameterized Queries 2010 SIGMOD 7.3151509e-05
3,606 Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? 2017 SIGMOD 7.1528863e-05
4,726 Learned Index Benefits: Machine Learning Based Index Performance Estimation 2022 VLDB 6.4329878e-05
5,006 An Incremental Anytime Algorithm for Multi-Objective Query Optimization 2015 SIGMOD 6.3057396e-05
5,044 Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server 2023 VLDB 6.2888728e-05
5,062 Leveraging Query Logs and Machine Learning for Parametric Query Optimization 2022 VLDB 6.2791511e-05
5,223 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 6.210331e-05
5,245 FASTgres: Making Learned Query Optimizer Hinting Effective 2023 VLDB 6.1995935e-05
7,561 Learned Offline Query Planning via Bayesian Optimization 2025 SIGMOD 5.4784915e-05
7,975 Robust Query Processing: Mission Possible 2020 VLDB 5.3985544e-05
9,335 Rethink Query Optimization in HTAP Databases 2023 SIGMOD 5.1791475e-05
10,249 Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections 2022 VLDB 5.0412674e-05
11,011 Ultron: History-Based Query Optimization at Databricks 2026 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0023948467
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00040739114
57 On Random Sampling over Joins 1999 SIGMOD 0.0003999751
91 On the Propagation of Errors in the Size of Join Results 1991 SIGMOD 0.00034691614
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034050614
109 Extensible/Rule Based Query Rewrite Optimization in Starburst 1992 SIGMOD 0.00032702871
138 Join Synopses for Approximate Query Answering 1999 SIGMOD 0.00029532435
149 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00028910892
254 The History of Histograms (abridged) 2003 VLDB 0.00022999992
259 An Overview of Query Optimization in Relational Systems 1998 PODS 0.00022881075
287 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00022060616
291 Optimization of Dynamic Query Evaluation Plans 1994 SIGMOD 0.00021898776
396 R* Optimizer Validation and Performance Evaluation for Local Queries 1986 SIGMOD 0.00019119719
426 Cost-based Query Scrambling for Initial Delays 1998 SIGMOD 0.00018432573
457 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00017915659
489 Randomized Algorithms For Optimizing Large Join Queries 1990 SIGMOD 0.00017402488
532 Automatic SQL Tuning in Oracle 10g 2004 VLDB 0.0001681305
568 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD 0.00016221103
646 Exploiting Statistics on Query Expressions for Optimization 2002 SIGMOD 0.00015166402
996 Analyzing Plan Diagrams of Database Query Optimizers 2005 VLDB 0.00012595827
1,935 Consistently Estimating the Selectivity of Conjuncts of Predicates 2005 VLDB 9.3407959e-05
3,142 Statistics on Views 2003 VLDB 7.5858292e-05
4,674 On the Production of Anorexic Plan Diagrams 2007 VLDB 6.4584193e-05
5,490 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 6.0970166e-05
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