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Alchemy: A Query Optimization Framework for Oblivious SQL

Summary: Alchemy is a query-optimization framework for oblivious SQL that reduces circuit complexity for secure multiparty computation by exploiting schema metadata and query structure. It combines rewrites, cardinality bounds, bushy plans and a fine-grained cost model (with sort reuse) to yield up to 100× TPC-H speedups and generalizes to other secure computation settings. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13939
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,653 | 25.89%
DOI
10.14778/3746405.3746425

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