基于HBase的交通数据区域查询方法

A Regional Query Method of Traffic Data Based on HBase

随着智能交通的发展,交通数据呈现出指数性增长。为了提升时空区域查询性能,论文提出了一种基于HBase的交通数据区域查询方法 HRQ。该方法利用交通数据的三维时空特性,采用Geohash算法将交通数据的经纬度信息转为Geohash编码,然后与时间组合作为HBase行键,并设计了相应的查询算法。实验结果表明,与直接组合经纬度和时间作为行键的方法相比,在基于时间范围的区域查询上HRQ方法的性能要高30%以上,在基于区域范围的区域查询上HRQ的性能优势随着查询区域的增大而增加。

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 is30% higher in time-based region query,and HRQs performance advantage increases as query area increases in regions query based on regional.