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 | 0.00022734812 |
| 6,561 | On the Stability of Plan Costs and the Costs of Plan Stability | 2010 | VLDB | 5.0099895e-05 |
| 10,627 | Robust Plan Evaluation based on Approximate Probabilistic Machine Learning | 2025 | VLDB | 4.1945683e-05 |
| 1,962 | Plan Selection based on Query Clustering | 2002 | VLDB | 9.950467e-05 |
| 684 | Towards a Robust Query Optimizer: A Principled and Practical Approach | 2005 | SIGMOD | 0.00018179769 |
| 6,278 | Uncertainty Aware Query Execution Time Prediction | 2014 | VLDB | 5.1309442e-05 |
| 339 | Optimization of Dynamic Query Evaluation Plans | 1994 | SIGMOD | 0.00026851113 |
| 8,659 | Learned Offline Query Planning via Bayesian Optimization | 2025 | SIGMOD | 4.4722928e-05 |
| 1,070 | Analyzing Plan Diagrams of Database Query Optimizers | 2005 | VLDB | 0.00014316791 |
| 6,685 | How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks | 2025 | SIGMOD | 4.9627485e-05 |