基于Redis的海量轨迹数据存储模型研究

Large-scale Trajectory Data Storage Model Based on Redis

随着web2.0的发展,互联网几乎渗入人们生活工作中的各个方面,产生海量与时空相关的非结构化数据。如何高效存储管理这些数据成为重点问题。对空间数据的存储研究现状进行总结,分析了目前存储方案的不足。基于Redis数据库设计轨迹数据的存储方案及数据存储结构。以移动对象的轨迹数据为例,设计数据存储架构,构建数据模型。提高了在线平台的实时存储效率,为进一步实现大规模历史轨迹数据空间和属性的高效联合查询提供支持。

With the development of Web 2.0, the Internet is closely related to people＇s life and work, so it produces a large a- mount of unstructured data related to space and time. How to efficiently store and manage these data is an important issue that must be solved. Firstly, this paper summarizes the storage solutions of spatial and temporal data, briefly analyzes the shortcom- ings of the current storage solutions. This paper designs a spatio-temporal data storage structure base on Redis. Finally, taking the trajectory data of moving objects as example, the structure of data storage is designed . The efficiency of real-time storage and the spatial query efficiency are improved.