实现关系数据库和非关系数据库之间的同步方法

IF 3.7 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Big Data and Cognitive Computing Pub Date : 2023-09-18 DOI:10.3390/bdcc7030153
Cornelia A. Győrödi, Tudor Turtureanu, Robert Ş. Győrödi, Doina R. Zmaranda
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引用次数: 1

摘要

应用程序开发速度的加快需要更频繁地切换数据库,因为技术进步需要灵活的适应。数据量的增加以及事务数量的增加决定了一些应用程序从一个数据库迁移到另一个数据库,特别是从关系数据库迁移到非关系(NoSQL)替代数据库。在这个过渡阶段,两个数据库的共存是必要的。此外,某些用户选择永久更新两个数据库,以利用每个数据库的各自优势来简化操作。现有的解决方案主要关注于复制,未能充分解决关系和非关系(NoSQL)数据库之间的同步管理问题。本文提出了一种实用的IT方法来解决这个问题,并通过开发一个应用程序来测试所提出解决方案的可行性,该应用程序维护作为关系数据库的MySQL数据库和作为非关系数据库的MongoDB之间的同步。分析解决方案的性能和功能,以确保数据的一致性和正确性。此外,还重点介绍了应用开发过程中出现的问题,并提出了解决问题的方法。
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Implementing a Synchronization Method between a Relational and a Non-Relational Database
The accelerating pace of application development requires more frequent database switching, as technological advancements demand agile adaptation. The increase in the volume of data and at the same time, the number of transactions has determined that some applications migrate from one database to another, especially from a relational database to a non-relational (NoSQL) alternative. In this transition phase, the coexistence of both databases becomes necessary. In addition, certain users choose to keep both databases permanently updated to exploit the individual strengths of each database in order to streamline operations. Existing solutions mainly focus on replication, failing to adequately address the management of synchronization between a relational and a non-relational (NoSQL) database. This paper proposes a practical IT approach to this problem and tests the feasibility of the proposed solution by developing an application that maintains the synchronization between a MySQL database as a relational database and MongoDB as a non-relational database. The performance and capabilities of the solution are analyzed to ensure data consistency and correctness. In addition, problems that arose during the development of the application are highlighted and solutions are proposed to solve them.
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来源期刊
Big Data and Cognitive Computing
Big Data and Cognitive Computing Business, Management and Accounting-Management Information Systems
CiteScore
7.10
自引率
8.10%
发文量
128
审稿时长
11 weeks
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