摘要
随着铁路工程规模的扩大和参与方的增多,电子档案数据量呈现爆发式增长,只依赖于传统的关系型数据库难以满足大数据量、多样性和复杂性的要求。针对此问题,对MongoDB和MySQL在铁路非结构化档案管理中的优劣进行了研究,并提出了一种基于MongoDB的存储解决方案。该方案结合非结构化和结构化数据的存储需求,采用MongoDB优化非结构化数据的存储,使用MySQL处理结构化数据,并通过统一的元数据管理和数据同步机制实现高效、灵活的数据访问。
With the expansion of the scale of railroad projects and the increase of participants,the data volume of electronic archives shows explosive growth,and it is difficult to meet the requirements of large data volume,diversity and complexity by relying only on traditional relational databases.To address this problem,the advantages and disadvantages of MongoDB and MySQL in the management of railroad unstructured archives are studied,and a storage solution based on MongoDB is proposed.The solution combines the storage requirements of unstructured and structured data,adopts MongoDB to optimize the storage of unstructured data,uses MySQL to process structured data,and achieves efficient and flexible data access through unified metadata management and data synchronization mechanism.
作者
俞佳
江若飞
Yu Jia;Jiang Ruofei
出处
《兰台世界》
2025年第2期96-100,共5页
Lantai World
基金
国铁集团重点课题(省部级)“中国铁路数字档案总体架构与关键技术研究”(项目编号:N2023S016)。
