CAJ | 학술논문

关系型数据库在管理海量空间数据时遇到诸多瓶颈，HDFS（Hadoop Distributed Filesystem）通过将大数据分割为多个小数据块，并将其分别存储在多个数据节点组成的分布式集群中，成为一种新的存储海量空间数据的方法。使用HDFS作为平台，利用数据结构类型MapFile设计一种管理MapGIS K9瓦片地图集的方式，并进行实验。实验表明用HDFS管理海量瓦片地图比传统方式管理更易扩展，更加安全，效率更加高。
관계형수거고재관리해량공간수거시우도제다병경，HDFS（Hadoop Distributed Filesystem）통과장대수거분할위다개소수거괴，병장기분별존저재다개수거절점조성적분포식집군중，성위일충신적존저해량공간수거적방법。사용HDFS작위평태，이용수거결구류형MapFile설계일충관리MapGIS K9와편지도집적방식，병진행실험。실험표명용HDFS관리해량와편지도비전통방식관리경역확전，경가안전，효솔경가고。
Relational databases encounter quite a few bottlenecks while managing the massive spatial data .HDFS becomes a new method to store huge amounts of spatial data by dividing the large data into several small data blocks and separately storing them into several distributed clusters that are composed of data nodes .We design a MapGIS K9 tile map set management means by using HDFS as the platform and utilise the data structure type of MapFile , and make the experiment as well .Experiment shows that to use HDFS to manage massive tile map is more scalable , more secure and has higher efficiency than the traditional ways do .