湖北农业科学 ›› 2021, Vol. 60 ›› Issue (10): 129-132.doi: 10.14088/j.cnki.issn0439-8114.2021.10.026

• 信息工程 • 上一篇    下一篇

省级气象大数据存储模型设计

夏正龙1,2, 钟艳雯1, 郑秋生1, 朱亮1   

  1. 1. 湖南省气象信息中心,长沙 410118;
    2. 气象防灾减灾湖南省重点实验室,长沙 410118
  • 收稿日期:2020-07-29 出版日期:2021-05-25 发布日期:2021-05-28
  • 作者简介:夏正龙(1980-),男,江苏建湖人,高级工程师,硕士,主要从事气象信息技术应用与开发方面的研究,(电话)0731-85600000(电子信箱)261892600@qq.com。
  • 基金资助:
    湖南省气象局2019年重点课题(XQKJ19A003)

Design of provincial meteorological big data storage model

XIA Zheng-long1,2, ZHONG Yan-wen1, ZHENG Qiu-sheng1, ZHU Liang1   

  1. 1. Hunan Meteorological Information Center,Changsha 410118,China;
    2. Hunan Province Key Laboratory on Meteorological Disaster Prevention and Mitigation,Changsha 410118,China
  • Received:2020-07-29 Online:2021-05-25 Published:2021-05-28

摘要: 从结构化、非结构化气象数据的存储、索引两方面,基于大数据相关技术设计一套省级气象大数据存储模型。结果表明,非结构化气象小文件利用Avro进行数据模式设计、依据存储规则合并打包为Avro格式文件存储在HDFS上,减少文件数,节省内存资源的消耗;规则的结构化气象数据利用HBase提出表、列字段、行键设计的宽表存储设计思路;利用ElasticSearch设计统一的省级气象大数据存储索引库,统一检索入口,提高检索效率。

关键词: 气象大数据, 存储, 索引, Avro, HBase, ElasticSearch

Abstract: Referring to the mature meteorological data storage ideas of traditional storage technology and the research results of meteorological big data storage technology of meteorological departments at all levels at present, a set of provincial meteorological big data storage model based on big data related technology from the storage and index of structured and unstructured meteorological data was designedthe results showed that unstructured meteorological small files use Avro to design data mode, According to the storage rules,are merged and packaged as the Avro format files and stored on HDFS to reduce the number of files and save the consumption of memory resources; Based on HBase, put forward the design idea of wide table storage for regular structured meteorological data, including tables, column fields and row keys; Elasticsearch is used to design a unified provincial meteorological big data storage index library to unify the retrieval entrance and improve the retrieval efficiency. The design ideas and the use of related technologies in this paper can provide reference for provincial meteorological departments to carry out the storage planning and scheme formulation of meteorological big data.

Key words: meteorological big data, storage, index, Avro, HBase, ElasticSearch

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