The Fittest Survives: An Adaptive Approach to Query Optimization
Summary: Adaptive optimizer with parameter-tuned search space and strategy enables selection of the best plans under changing workloads. Learning capability for canned queries incrementally replaces old plans with fitter ones, demonstrated on large multijoin workloads using an analytical model. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hongjun Lu
- 2. Kian-Lee Tan
- 3. Son Dao
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,516 | A Characterization of the Sensitivity of Query Optimization to Storage Access Cost Parameters | 2003 | SIGMOD | 6.1178799e-05 |
| 8,659 | Learned Offline Query Planning via Bayesian Optimization | 2025 | SIGMOD | 4.4722928e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,263 | Extending the Search Strategy in a Query Optimizer | 1991 | VLDB | 9.1612588e-05 |
| 8,617 | A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning | 2024 | VLDB | 4.4846425e-05 |
| 3,727 | Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection | 2022 | VLDB | 6.8141709e-05 |
| 339 | Optimization of Dynamic Query Evaluation Plans | 1994 | SIGMOD | 0.00026851113 |
| 4,099 | Implementing an Interpreter for Functional Rules in a Query Optimizer | 1988 | VLDB | 6.4545871e-05 |
| 3,408 | Query Optimizers: Time to Rethink the Contract? | 2009 | SIGMOD | 7.1288167e-05 |
| 3,284 | Configuration-Parametric Query Optimization for Physical Design Tuning | 2008 | SIGMOD | 7.2790444e-05 |
| 454 | An Overview of Query Optimization in Relational Systems | 1998 | PODS | 0.00022734812 |
| 4,617 | Adaptive Query Processing in the Looking Glass | 2005 | CIDR | 6.0446738e-05 |
| 1,619 | Adaptive Optimization of Very Large Join Queries | 2018 | SIGMOD | 0.00011111678 |