基于HBase的交通数据时空分块索引

Spatio-temporal block index for traffic data based on HBase

智能交通领域快速发展带来的海量交通数据已难以通过传统关系型数据库及时处理。针对交通数据的分布特点与查询需求,提出了一种基于分布式数据库HBase的时空分块索引框架(STB-HBase),利用HBase行键设计结合二级索引的方式,解决数据在时空维度分布不均引起的热点问题,并设计出STB-HBase下的移动对象轨迹查询和时空范围查询算法。实验结果表明,STB-HBase对交通数据有良好的存储性能和查询效率。

The traditional relational database has been difficult to process the massive traffic data brought by the rapid development of intelligent transportation in time.Aiming at the distribution characteristics and query requirements of traffic data,a Spatio-Temporal Block indexing framework based on distributed database HBase(STB-HBase)is proposed.Designing HBase rowkey combined with the secondary index is used to solve the hotspot problem caused by the uneven distribution of data in spatial and temporal dimensions,and the two algorithms of moving object track query and spatio-temporal range query under STB-HBase are designed.The experimental results show that STB-HBase has good storage performance and query efficiency for traffic data.