Efficient AI-Driven Query Optimization in Large-Scale Databases: A Reinforcement Learning and Graph-Based Approach

Efficient AI-Driven Query Optimization in Large-Scale Databases: A Reinforcement Learning and Graph-Based Approach

As data-centric applications become increasingly complex, understanding effective query optimization in large-scale relational databases is crucial for managing this complexity. Yet, traditional cost-based and heuristic approaches simply do not scale, adapt, or remain accurate in highly dynamic mult...

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Bibliographic Details
Main Authors: Najla Sassi, Wassim Jaziri
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
query optimization
reinforcement learning
graph neural networks
join order selection
large-scale databases
resource efficiency
Online Access:https://www.mdpi.com/2227-7390/13/11/1700
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