Learning Table Access Cardinalities with LEO
Summary: LEO uses a feedback loop to learn from executions, repairing cardinalities and predicate selectivities to improve estimates. It generalizes to similar queries, detects cardinality errors across operators, piggybacks on prior runs with negligible overhead. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Volker Markl
- 2. Guy Lohman
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,013 | Cardinality Estimation Using Sample Views with Quality Assurance | 2007 | SIGMOD | 7.7082045e-05 |
| 6,507 | Expand your Training Limits! Generating Training Data for ML-based Data Management | 2021 | SIGMOD | 5.0273414e-05 |
| 12,299 | Visualizing the robustness of query execution | 2009 | CIDR | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 181 | LEO - DB2's LEarning Optimizer | 2001 | VLDB | 0.00036970794 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,756 | Sampling-Based Query Re-Optimization | 2016 | SIGMOD | 0.00010659753 |
| 5,639 | Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server | 2023 | VLDB | 5.3972261e-05 |
| 3,943 | Exact Cardinality Query Optimization for Optimizer Testing | 2009 | VLDB | 6.6067351e-05 |
| 2,080 | Towards a Learning Optimizer for Shared Clouds | 2019 | VLDB | 9.5954034e-05 |
| 3,345 | Lero: A Learning-to-Rank Query Optimizer | 2023 | VLDB | 7.1908499e-05 |
| 3,455 | Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation | 2022 | VLDB | 7.0760196e-05 |
| 1,699 | Are We Ready For Learned Cardinality Estimation? | 2021 | VLDB | 0.00010848882 |
| 5,696 | Exact Cardinality Query Optimization with Bounded Execution Cost | 2019 | SIGMOD | 5.367449e-05 |
| 7,220 | Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation | 2023 | SIGMOD | 4.7926382e-05 |
| 181 | LEO - DB2's LEarning Optimizer | 2001 | VLDB | 0.00036970794 |