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LEO - DB2's LEarning Optimizer

Summary: LEO, DB2's LEarning Optimizer, uses a feedback loop to repair cardinality estimates by comparing forecasts with actuals at each QEP step. Online or offline, incremental or batched, it updates costs and statistics across operators (joins, DISTINCT, GROUP BY) with low overhead and large potential gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8917
Venue
VLDB
Year
2001
Pagerank
0.00034385207
Overall Rank
100 | 99.32%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{stillger_vldb01,
        title = {{LEO - DB2's LEarning Optimizer}},
        author = {Stillger, Michael and Lohman, Guy and Markl, Volker and Kandil, Mokhtar},
        journal = {PVLDB},
        series = {{VLDB} '01},
        year = {2001}
}

Incoming Citations (Sorted by Pagerank)

Showing 22 of 122 citing papers.

Rank Citing Paper Year Venue Pagerank
8,698 SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms 2023 VLDB 5.3830073e-05
8,783 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 5.3740362e-05
9,450 Engineering High-Performance Database Engines 2014 VLDB 5.2660195e-05
9,601 Low Rank Learning for Offline Query Optimization 2025 SIGMOD 5.2487799e-05
9,671 Detecting Attribute Dependencies from Query Feedback 2007 VLDB 5.238674e-05
9,756 Efficient Query Re-optimization with Judicious Subquery Selections 2023 SIGMOD 5.2258278e-05
9,793 Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes 2023 SIGMOD 5.2193018e-05
9,796 ROME: Robust Query Optimization via Parallel Multi-Plan Execution 2024 SIGMOD 5.21848e-05
9,920 Still Asking: How Good Are Query Optimizers, Really? 2025 VLDB 5.1955087e-05
9,958 A Practical Theory of Generalization in Selectivity Learning 2025 VLDB 5.1879626e-05
9,971 Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement 2025 SIGMOD 5.1845938e-05
9,986 Thriving in the No Man’s Land between Compilers and Databases 2019 CIDR 5.1832796e-05
10,016 Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections 2022 VLDB 5.1764556e-05
10,028 PRICE: A Pretrained Model for Cross-Database Cardinality Estimation 2025 VLDB 5.1745962e-05
10,875 Data-Agnostic Cardinality Learning from Imperfect Workloads 2025 VLDB 5.093636e-05
11,466 Anser: Adaptive Information Sharing Framework of AnalyticDB 2023 VLDB 5.093636e-05
12,096 Capturing the Laws of (Data) Nature 2015 CIDR 5.093636e-05
12,254 DBMS Metrology: Measuring Query Time 2013 SIGMOD 5.093636e-05
12,486 Visualizing the robustness of query execution 2009 CIDR 5.093636e-05
12,829 Adaptive Distributed Query Processing 2003 VLDB 5.093636e-05
12,846 SMART: Making DB2 (More) Autonomic 2002 VLDB 5.093636e-05
13,857 Automated Statistics Collection in Action 2005 SIGMOD -
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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