PLOP is a cost-based optimizer that finds optimal placements for semantic LLM operators in hybrid query plans via dynamic programming, delivering up to 1.5x speedup and 4.29x cost reduction on 44 benchmark queries while preserving accuracy.
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cs.DB 2years
2026 2representative citing papers
ReSequel rewrites SQL via metadata-guided LLM templates plus sample verification, yielding up to 16× workload speedups over native DBMSs and 22× over prior LLM systems.
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PLOP: Cost-Based Placement of Semantic Operators in Hybrid Query Plans
PLOP is a cost-based optimizer that finds optimal placements for semantic LLM operators in hybrid query plans via dynamic programming, delivering up to 1.5x speedup and 4.29x cost reduction on 44 benchmark queries while preserving accuracy.
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ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling
ReSequel rewrites SQL via metadata-guided LLM templates plus sample verification, yielding up to 16× workload speedups over native DBMSs and 22× over prior LLM systems.