| 空间大数据在MongoDB中的存储探索 |
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| 引用本文： | 李文龙,卢浩,云惟英,曾志明.空间大数据在MongoDB中的存储探索[J].测绘与空间地理信息,2017,40(Z1). |
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| 作者姓名： | 李文龙 卢浩 云惟英 曾志明 |
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| 作者单位： | 北京超图软件股份有限公司,北京100015;北京市地理信息核心软件与应用工程技术研究中心,北京100015 |
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| 基金项目： | 国家重点研发计划子课题:跨平台室内GIS关键技术研究 |
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| 摘 要： | 最近几年,IT技术,特别是云计算和大数据技术的发展,给传统的地理信息软件平台带来了很大变革.作为地理信息的核心技术之一,空间数据存储技术在地理信息软件平台中发挥着重要的作用,是实现高效的空间查询和空间分析的技术基础.面对数据量的爆发性增长、数据类型的增多等大数据问题,传统的关系型数据库很容易遇到存储瓶颈,存在诸如存储效率低、并发访问能力弱、横向扩展难等问题,这使得发展新的空间大数据存储技术势在必行.为解决传统关系型数据库在面对海量多源异构数据存储时遇到的上述问题,本文利用分布式存储NoSQL数据库进行了空间大数据存储和查询的技术探索,并通过一系列实验证明MongoDB数据库是一种有效的存储空间大数据的方法.
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| 关 键 词： | NoSQL MonogDB 空间大数据 分布式存储 |
Research on Spatial Big Data Storage in MongoDB |
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| LI Wen-long,LU Hao,YUN Wei-ying,ZENG Zhi-ming.Research on Spatial Big Data Storage in MongoDB[J].Geomatics & Spatial Information Technology,2017,40(Z1). |
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| Authors: | LI Wen-long LU Hao YUN Wei-ying ZENG Zhi-ming |
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| Abstract: | In recent years, the development of IT technology, especially the cloud computing and big data technology, has brought great innovations to the traditional Geographical Information Software ( GIS) platform. As one of the core technologies in geographic in-formation domain, spatial data storage technology plays an important role in the GIS platform. It is the technical basis for efficient spa-tial query and spatial analysis. In face of the explosive growth of data amount and the increasing of data types, traditional relational da-tabase is prone to the bottleneck problems of dealing with big data, including low storage efficiency, weak concurrent access ability, and difficulty in horizontal scaling. It is imperative to develop new spatial big data storage technology. To solve the mentioned prob-lems of traditional relational database encountered in processing massive multi-source heterogeneous data, we have explored the tech-nic for spatial big data storage and query using distributed storage technology of NoSQL database. And experiments conducted in this paper have proven that MongoDB is the potential database for spatial data storage. |
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| Keywords: | NoSQL MongoDB spatial big data distributed storage |
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