分布式数据库在气象大数据云平台中的应用与扩容研究  

Research on the application and expansion of distributed database in meteorological big data cloud platform

作　　者：许竹霞[1] 张卫卫 刘昊 牛喆 Xu Zhuxia;Zhang Weiwei;Liu Hao;Niu Zhe(Gansu Meteorological Information and Technical Equipment Support Center,Lanzhou 730020)

机构地区：[1]甘肃省气象信息与技术装备保障中心,兰州730020

出　　处：《气象水文海洋仪器》2023年第3期1-4,共4页Meteorological,Hydrological and Marine Instruments

基　　金：2021年甘肃省气象大数据云平台本地化应用项目(GSQXSJ202107);2021年甘肃省气象大数据支持与服务创新团队项目(GSQXCXTD-2021-01)资助。

摘　　要：针对气象数据存储难扩展、单点故障等问题,文章采用分布式关系型数据库、分布式分析型数据库和分布式表格型数据库,建立了分布式气象数据存储系统。通过对比分析分布式数据库与传统数据库访问性能的差异,发现分布式数据库的访问时效显著高于传统数据库;分布式虚谷数据库在扩容期间可完成数据实时入库并通过数据服务接口进行数据访问,实时业务不受影响,能有效满足气象数据实时服务的要求。Aiming at the problems of difficult expansion and single point failure of meteorological data storage,this paper establishes a distributed meteorological data storage system by using distributed relational database,distributed analytical database and distributed tabular database.By comparing and analyzing the difference of access performance between distributed database and traditional database,it is found that the access time of distributed database is significantly higher than that of traditional database.The distributed Xugu database can complete real-time data storage and data access through the data service interface during the expansion period,and the real-time business is not affected,which can effectively meet the requirements of real-time meteorological data service.

关 键 词：分布式数据库 虚谷数据库 GBase 8a数据库 数据库扩容 

分 类 号：P413[天文地球—大气科学及气象学]