计算机与数字工程2017，Vol.45Issue(2)：230-234,278,6.DOI:10.3969/j.issn.1672-9722.2017.02.008
基于HBase的交通数据区域查询方法
A Regional Query Method of Traffic Data Based on HBase
摘要
Abstract
With the development of intelligent traffic, traffic data has exponential growth.To improve the query's performance of spatial and temporal region, this article proposes HRQ region query methods of traffic data based on HBase.The method uses the Geohash algorithm to make traffic data's latitude and longitude information become a Geohash code, and combines time to form HBase's keys.This article designs the corresponding query algorithms too.Experimental results show that, compared to the direct combination of latitude, longitude and time as HBase's keys, the performance of HRQ method is 30% higher in time-based region query, and HRQ's performance advantage increases as query area increases in region's query based on regional.关键词
HBase/Geohash算法/区域查询/海量交通数据/时空特性Key words
HBase/Geohash algorithm/regional query/massive traffic/spatial and tempal feature分类
信息技术与安全科学引用本文复制引用
李冬,房俊..基于HBase的交通数据区域查询方法[J].计算机与数字工程,2017,45(2):230-234,278,6.基金项目
北京市自然科学基金重点资助项目"面向大规模流式数据处理的数据空间理论与关键技术研究"(编号:4131001)资助. （编号:4131001）
