Asymptotically Better Query Optimization Using Indexed Algebra
Summary: Introduces Indexed Algebra — a relational-algebra representation augmented with a link/cut-tree index to enable dynamic data-flow analysis and O(log n) updates/queries, avoiding quadratic per-operator column tracking. Delivers asymptotically faster optimization with >1.8x speedups on TPC-H/TPC-DS and unbounded gains for deep plans. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Philipp Fent
- 2. Guido Moerkotte
- 3. Thomas Neumann
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