基于HBase的矢量空间数据存储与访问优化

发布时间：2018-10-07 18:47

【摘要】：为了对空间矢量数据进行高效存储、管理与发布,将分布式存储应用于地理信息系统(GIS)的海量矢量空间数据管理。懫用网格法对地理空间进行划分,构建地理空间分块索引表,计算出每个网格单元对应的ID;同时为了提高查询效率,引入网格索引ID,设计了一种结合网格索引ID、空间对象几何中心点横坐标、空间对象几何中心点纵坐标、空间对象图层四种信息的行键方案;然后,为了进一步筛选查询纵坐标范围的行键,利用HBase的过滤机制,在行键方案基础上,具体设计集空间对象几何中心坐标点纵坐标和图层信息的组合列族,使得HBase方便高效地管理矢量空间数据,大幅提高查询的处理速度。最后利用Hbase集群环境对所提方法进行验证,该方法具有较好的可行性和较高的效率。
[Abstract]:In order to efficiently store, manage and distribute spatial vector data, distributed storage is applied to the management of mass vector space data in (GIS). In order to improve the query efficiency, the ID; corresponding to each grid unit is calculated by using the grid method to divide the geographical space, to construct the geographical space block index table, and to calculate the corresponding ID; of each grid cell, in order to improve the query efficiency. In this paper, the grid index ID, is introduced to design a row key scheme which combines the four information of grid index ID, spatial object geometric center point horizontal coordinate, spatial object geometric center point vertical coordinate and spatial object map layer. In order to further screen the row keys in the range of vertical coordinates, using the filtering mechanism of HBase, and on the basis of the line key scheme, a family of combined columns of coordinate points of geometric center coordinates and layer information of spatial objects is designed concretely. It makes HBase manage vector space data conveniently and efficiently, and greatly improve the processing speed of query. Finally, the Hbase cluster environment is used to verify the proposed method, which has good feasibility and high efficiency.
【作者单位】：河海大学计算机与信息学院;
【基金】：国家科技支撑计划项目(2013BAB06B04) 江苏省自然科学基金资助项目(BK20130852) 2013年江苏水利科技项目(2013025) 中国华能集团公司总部科技项目(HNKJ13-H17-04)
【分类号】：TP333;P208

【参考文献】