摘要
本文对非关系型分布式数据库Cassandra进行了深入剖析,搭建了Cassandra分布式数据库集群。根据气象大数据的特点,分别设计了结构化气象数据和非结构化气象数据的数据模型,存入了海量气象数据。并根据气象大数据的应用场景,设计了数据的查询用例,成功实现了海量气象数据的获取。结果表明提出的气象大数据在Cassandra中的应用方法,较使用关系型数据库和传统FTP方法显著提高了数据获取效率,符合气象大数据的应用要求,为气象服务提供了大数据支撑。
This paper made an in-depth study on the non-relational distributed database Cassandra,it built a Cassandra distributed database cluster,designed the data models of structured meteorological data and unstructured meteorological data to store a large amount of meteorological data.Under the application scenario of meteorological big data,this paper designed the query use case of data,and realized the acquisition of massive meteorological data successfully.The results showed that the application method of meteorological big data in Cassandra proposed significantly improved the efficiency of data acquisition compared with relational database and traditional FTP methods,it meets the application requirements of meteorological big data,and provides big data support for meteorological services.
作者
杨永毅
赵思亮
赵芳
Yang Yongyi;Zhao Siliang;Zhao Fang(Chongqing Meteorological Bureau,Chongqing 401147)
出处
《现代科学仪器》
2020年第3期14-20,共7页
Modern Scientific Instruments
基金
重庆市气象局科技计划项目(YWGGTD-201613)。