摘要
随着地理信息系统研究的不断深入发展,其应用领域不断扩张,地理数据规模越来越大,高性能的地理数据处理成为迫切并且必然的要求。为了适应地理信息系统发展的需要,本文设计了基于Spark平台的地理数据并行处理框架,并最终设计实现了地理数据并行装载技术,使得地理数据装载效率得到显著提高,为今后实现地理数据实时更新、访问、分析等奠定了良好的基础。
With the deepening development of GIS research,its application domain expands unceasingly, geographic data scale grows so fast that high-performance of geographic data processing becomes a urgent and inevitable require-ment. In order to meet the needs of GIS development, in this paper, geographic data parallel computing framework was designed based on Spark parallel computing platform and geographic data parallel loading was realized, on this basis, the loading efficiency of geographic data improves significantly, geographic data update, access, analysis in real time becomes possible.
出处
《软件》
2016年第12期-,共6页
Software
