A Method for Transforming Object-relational to Document-oriented Databases

2020 2nd International Conference on Mathematics and Information Technology (ICMIT) Pub Date : 2020-02-01 DOI:10.1109/ICMIT47780.2020.9047011

A. Aggoune, Mohamed Sofiane Namoune

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引用次数: 5

Abstract

Object-relational databases have emerged to improve relational ones by adding properties of object-oriented approach such as references, polymorphism, inheritance, etc. However, these extended relational databases have become a huge amount of data and the database management systems (DBMS) cannot handle them. Due to the emergence of NoSQL databases for ensuring the storage and the processing of large data scale, it is necessary to propose a method for transforming object-relational to NoSQL databases. This paper presents a new method for transforming the object-relational database to one of the popular NoSQL data stores so-called document-oriented database. The proposed method is based on a set of matching between the schemata of object-relational and document-oriented databases. The method is terminated by the generation of a set of JSON files which represent collections of semi-structured documents. These files can be imported and represented by BSON format that will be managed by document-oriented DBMS such as MongoDB.

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一种将对象关系数据库转换为面向文档数据库的方法

对象关系数据库的出现是为了通过添加诸如引用、多态性、继承等面向对象方法的属性来改进关系数据库。然而，这些扩展的关系数据库已成为海量数据，数据库管理系统(DBMS)无法处理。由于NoSQL数据库的出现是为了保证大数据规模的存储和处理，因此有必要提出一种将对象关系数据库转换为NoSQL数据库的方法。本文提出了一种将对象关系数据库转换为流行的NoSQL数据存储之一的面向文档数据库的新方法。该方法基于对象关系数据库模式与面向文档数据库模式之间的一组匹配。该方法在生成一组JSON文件时终止，这些文件表示半结构化文档的集合。这些文件可以导入并以BSON格式表示，由面向文档的DBMS(如MongoDB)管理。

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2020 2nd International Conference on Mathematics and Information Technology (ICMIT)

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