矢量空间数据文档存储模型研究
Research on Vector Spatial Data Document Storage Model
付艳丽 1邵飞 1王海斌1
作者信息
- 1. 济南市勘察测绘研究院,山东 济南 250000
- 折叠
摘要
针对海量空间数据量PB级数据存储的问题,分析NoSQL数据库中分布式文件存储数据库在海量数据的存储和访问上的优势,分析基于分布式文件存储的数据库MongoDB的存储格式,研究矢量空间数据文档存储模型.针对矢量空间数据的点、线、多边形等几何形态,设计基于文档存储的矢量空间数据存储模型,实现了矢量空间数据在文档存储数据库MongoDB中的存储.针对矢量空间数据在文件存储数据库中的应用效率问题,提出未来工作将围绕文件存储数据库中矢量空间数据拓扑查询及查询效率展开.
Abstract
Aiming at the problem of PB-level data storage of massive spatial data,this paper analyzes the advantages of distributed file storage database in NoSQL database in the storage and access of massive data,analyzes the storage format of MongoDB database based on distributed file storage,and studies the document storage model of vector spatial data.According to the geometric shape of vector spatial data,such as points,lines and polygons,a vector spatial data storage model based on document storage is designed,and the storage of vector spatial data in the document storage database MongoDB is realized.Aiming at the application efficiency of vector spatial data in file storage database,it is proposed that future work will focus on vector spatial data topology query and query efficiency in file storage database.
关键词
矢量空间数据/文档存储模型/NoSQL/MongoDBKey words
vector spatial data/document storage model/NoSQL/MongoDB引用本文复制引用
出版年
2024
NETL
NSTL
万方数据