利用分布式自动化并行处理框架提升空间数据分析效率  

The efficiency improvement of spatial data analysis by using the distributed automatic parallel processing framework

作　　者：梁哲恒 吴宝佑 谢刚生 LIANG Zheheng;WU Baoyou;XIE Gangsheng(South Digital Technology Co.,Ltd.,Guangzhou 510665,China)

机构地区：[1]广东南方数码科技股份有限公司

出　　处：《测绘通报》2020年第10期143-147,共5页Bulletin of Surveying and Mapping

摘　　要：围绕GIS应用系统在空间数据分析效率提升的方面,本文提出了一套基于分布式自动化并行处理框架的效率提升方法,阐述了如何基于ArcPy、WebAPI、分布式调度、调度控制因子等关键技术,实现分布式自动化并行处理。本文方法有助于便捷、高效地解决大量空间数据分析处理的效率问题。Focusing on the efficiency improvement of GIS application system in spatial data analysis,in view of the problem of data analysis and processing efficiency,this paper puts forward a set of efficiency improvement method based on distributed automatic parallel processing framework.It expounds how to realize the distributed automatic parallel processing based on the key technologies such as ArcPy,Web API,distributed scheduling and scheduling control factors.It is helpful to solve the efficiency problem of large amount of spatial data analysis and processing conveniently and efficiently.

关 键 词：ArcPy WebAPI 分布式 并行处理 空间数据分析 

分 类 号：P208[天文地球—地图制图学与地理信息工程]