分布式空间数据库中矢量数据多级空间索引方法研究

随着网格计算、云计算等技术在地理信息领域的应用,海量空间数据的高效组织与管理成为提供各种数据和功能服务的基础,空间索引是其中的关键问题,文中在分布式空间数据库系统架构基础上,提出一种适应分布式环境下的分层+分块的矢量数据存储组织模型,设计包括矢量数据面片索引、矢量数据层索引、矢量数据块索引以及数据块内索引在内的多级空间索引。实现表明,文中设计的空间索引支持并发创建和高并发条件下的数据高效访问。

Research on multilevel spatial index method of vector data in the distributed spatial database

Distributed computing and cloud computing technology have been applied to the field of geographic information, offering a variety of data and function services based on the efficient organization and management of massive spatial data.Spatial index is the key problem.Based on distributed spatial database system architecture, the paper proposes a layered and blocked vector data storage organization model which adapts to the distributed environment, along with a multilevel spatial index that included patch index, layer index, block index and inside block index of the vector data.The experiments illustrate that the model designed in the paper supports the concurrent create spatial index and efficient data access under the condition of high concurrency.