Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection
Summary: Hybrid optimizer blends learning-based hints with cost-based plan completion to yield high-quality candidates. An uncertainty-based selector predicts runtimes, selecting the best plan; results beat PostgreSQL with 25% latency reductions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiang Yu
- 2. Chengliang Chai
- 3. Guoliang Li
- 4. Jiabin Liu
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 454 | An Overview of Query Optimization in Relational Systems | 1998 | PODS | 0.00022796106 |
| 6,561 | On the Stability of Plan Costs and the Costs of Plan Stability | 2010 | VLDB | 5.0055336e-05 |
| 10,635 | Robust Plan Evaluation based on Approximate Probabilistic Machine Learning | 2025 | VLDB | 4.1905499e-05 |
| 1,961 | Plan Selection based on Query Clustering | 2002 | VLDB | 9.9464221e-05 |
| 680 | Towards a Robust Query Optimizer: A Principled and Practical Approach | 2005 | SIGMOD | 0.00018193263 |
| 6,277 | Uncertainty Aware Query Execution Time Prediction | 2014 | VLDB | 5.1260947e-05 |
| 342 | Optimization of Dynamic Query Evaluation Plans | 1994 | SIGMOD | 0.00026836424 |
| 8,660 | Learned Offline Query Planning via Bayesian Optimization | 2025 | SIGMOD | 4.4680058e-05 |
| 1,064 | Analyzing Plan Diagrams of Database Query Optimizers | 2005 | VLDB | 0.00014348262 |
| 6,687 | How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks | 2025 | SIGMOD | 4.957987e-05 |