BitE : Accelerating Learned Query Optimization in a Mixed-Workload Environment

no code implementations • 1 Jun 2023 • Yuri Kim, Yewon Choi, Yujung Gil, Sanghee Lee, Heesik Shin, Jaehyok Chong

Although the many efforts to apply deep reinforcement learning to query optimization in recent years, there remains room for improvement as query optimizers are complex entities that require hand-designed tuning of workloads and datasets.

Ensemble Learning