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A Database Tuning Tool that “Reads the Manual”
Abstract
DB-BERT is an automated tuning tool for database systems. It mines tuning hints from text documents and uses them as a starting point for iterative tuning. During iterative tuning, it uses reinforcement learning to decide how to adapt, prioritize, and aggregate hints from different sources.