Model Transformation and Data Migration from Relational Database to MongoDB

Tianyu Jia, Xiaomeng Zhao, Zheng Wang, Dahan Gong, Guiguang Ding
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引用次数: 31

Abstract

With the data growing dramatically and the structure of data becoming increasingly flexible, MongoDB has replaced the relational database in many applications. However, not much work has been done to effectively transform the schema and migrate the data from relational database to MongoDB. In this paper, we propose an approach of model transformation and data migration from relational database to MongoDB. Our work i) considers the query characteristics and data characteristics of the relational database, ii) designs a model transformation algorithm based on description tags and action tags, iii) automatically migrates the data into MongoDB based on the result of model transformation, and iv) develops an useful tool. We have designed experiments to prove that using our approach can achieve a better read performance.
关系型数据库到MongoDB的模型转换和数据迁移
随着数据的急剧增长和数据结构的日益灵活,MongoDB在许多应用中已经取代了关系数据库。但是,为了有效地转换模式并将数据从关系数据库迁移到MongoDB,还没有做太多的工作。在本文中,我们提出了一种从关系数据库到MongoDB的模型转换和数据迁移方法。我们的工作i)考虑了关系数据库的查询特征和数据特征,ii)设计了基于描述标签和动作标签的模型转换算法,iii)根据模型转换的结果自动将数据迁移到MongoDB中,iv)开发了一个有用的工具。我们设计了实验来证明使用我们的方法可以获得更好的读取性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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