Multi-SQL: An Automatic Multi-model Data Management System

Multi-SQL: An Automatic Multi-model Data Management System

연구 분야: Databases

학회: Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data

Nowadays, data in applications become diverse and large in scale. In order to meet the increasing demand for multi-model data management, multi-model databases have evolved into huge systems with many knobs. However, such a large system brings great challenges for users to efficiently tune. In extreme cases, it is difficult even for experienced DBAs to be the masters in multi-source engines and provide effective solutions for multi-model data. Meeting this challenge, we firstly propose an automatic multi-model data management system (Multi-SQL) based on machine learning. We design an intelligent middleware in which some artificial intelligence(AI) technologies are embedded, including automatic multi-model storage selection and automatic multi-model index recommendation methods. In this paper, we clarify the architecture, core techniques and key scenarios of Multi-SQL.