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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)

Paper ID
459
Venue
CIDR
Year
2022
Pagerank
4.1945683e-05
Overall Rank
11,318 | 21.27%
DOI
-

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Rank Cited Paper Year Venue Pagerank
640 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018759152
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