桂林理工大学学报2016,Vol.36Issue(2):310-313,4.DOI:10.3969/j.issn.1674-9057.2016.02.019
基于过滤率估算的 WFS 服务空间连接优化策略
Spatial join optimization of web feature services based on early filtering estimation
摘要
Abstract
The OpenGIS Web Feature Service (WFS)Interface Standard provides an interface allowing requests and updates for geographical features across the web by the HTTP protocol.In such a web-service-oriented envi-ronment,an issued query may invovle two or more spatial datasets that are provided by different services at dif-ferent sites.The processes of generating GML document in the WFS server,transmitting it to and parsing it at the client site,are very time-consuming,which causes a bottleneck to application of WFSs for distributed spatial data integration.This paper examines the query optimization strategy of spatial joins between OGC-compliant WFSs,based on the methods of spatial semi-join and partition based spatial-merge join.To avoid blindness of spatial semi-join operations of sub-areas,an improved strategy is proposed in this paper.In early phase the fil-tering ratios of spatial semi-joins for all the sub-areas are estimated and used to generate execution plans of spa-tial semi-join operations.The experimental result illustrates that compared with the previous methods,the pro-posed strategy can improve the performance of spatial joins between two WFSs.关键词
网络要素服务/空间连接/过滤率/查询优化Key words
web feature service/spatial join/filter ratio/query optimization分类
天文与地球科学引用本文复制引用
蓝贵文,陈骐,陈天伟..基于过滤率估算的 WFS 服务空间连接优化策略[J].桂林理工大学学报,2016,36(2):310-313,4.基金项目
国家自然科学基金项目(41261088);广西空间信息与测绘重点实验室主任基金项目(桂科能1207115-11);广西“八桂学者”专项经费项目 ()