Can Transfer Learning be used to build a Query Optimizer?
Summary: Proposes transferring a query optimizer: given DB System A with a good optimizer and System B with poor/no optimizer but similar physical operators, learn A's optimization patterns to build B's optimizer. Unique focus on cross-system transfer learning using shared operator semantics to reuse optimizer knowledge rather than per-system tuning, and outlines feasibility and challenges. (summarized by gpt-5-mini on Feb 09 2026)
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| 634 | Bao: Making Learned Query Optimization Practical | 2021 | SIGMOD | 0.00018844568 |
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