LLM-based synthetic SQL generation can train a learned cost model with fewer, more diverse queries than mechanical generation, though the measured accuracy gains are small and the comparison is not matched by training size.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DB 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Bootstrapping Learned Cost Models with Synthetic SQL Queries
LLM-based synthetic SQL generation can train a learned cost model with fewer, more diverse queries than mechanical generation, though the measured accuracy gains are small and the comparison is not matched by training size.