Open AccessResearch and Implementation of Geography Information Query System Based on Improved B-Order Algorithm
Author(s) -
Qian Lin,
Wei Lin,
Jun Yu,
Guangli Zhu,
Yinghui Pei,
Xin Hu,
Zhu Mei,
Hengmao Pang,
Mingjie Xu,
Haiyang Chen
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/5/052045
Subject(s) - computer science , cloud computing , query optimization , query expansion , sargable , process (computing) , sort , spatial query , information retrieval , table (database) , interface (matter) , data mining , database , algorithm , web search query , search engine , bubble , maximum bubble pressure method , parallel computing , operating system
With the rise of cloud computing research, more and more application systems begin to migrate to the cloud platform. However, the difference between cloud platform and traditional single or multiple sever model bring certain challenges to the system development. In this thesis, a Geography information query system based on HBase was studied and implemented relied on National Geography Public Welfare Project. The query system can make users to retrieve the information of sea wind and satellite images by the graphical interface. In the implement process of Geography information query system, this thesis studied and optimized the query technology. Firstly, in the query process of NearGoos data, B-order was used to divide the two-dimensional space and combine the sort features of rowkey in the table of HBase to optimize the spatial query. By improving the B-order algorithm, this algorithm made the query efficiency increase two orders of magnitude than before.