Sub-optimal Join Order Identification with L1-error
Summary: Introduces L1-error, a permutation distance over subplan cardinalities with the same join count, weighting errors by magnitude and prioritizing small multi-way joins. Used within a standard decision tree, L1-error accurately identifies sub-optimal plans across four benchmarks, with gains when combined with Q-error as a low-overhead composite feature. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yesdaulet Izenov
- 2. Asoke Datta
- 3. Brian Tsan
- 4. Florin Rusu
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