HBase中半结构化时空数据存储与查询处理

针对在HBase中如何进行有效的半结构化时空数据存储和查询问题展开研究，对该问题进行形式化描述，并利用半结构化处理方法TwigStack提出HBase的半结构化时空数据存储模型，在此基础上开展了半结构化的时空范围查询和kNN查询。在真实数据集中进行实验，与需要硬件配置较高的MongoDB进行了对比，结果表明在普通配置的机器上，所提出的半结构化时空查询算法与MongoDB性能相近，在实际中具有优势。
A study about how to effectively achieve semi-structured spatio-temporal data storage and query in HBase was carried out. The formal description of the problem was issued; the HBase semi-structured spatio-temporal storage model was proposed by using a semi-structured approach TwigStack. On this basis, semi-structured spatio-temporal range query and kNN queries were carried out. An experiment was made in terms of real data and a comparison was made with MongoDB which needs higher hardware configuration, the results show that the performance of semi structured spatio temporal query algorithm is similar to MongoDB in the machine with general configuration, so that it has the advantage in the practical application.