| 基于Hbase的地震大数据存储研究 |
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| 引用本文： | 刘坚,李盛乐,戴苗,陈晓琳,康凯,刘珠妹,郭啟倩. 基于Hbase的地震大数据存储研究[J]. 大地测量与地球动力学, 2015, 35(5): 890-893 |
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| 作者姓名： | 刘坚 李盛乐 戴苗 陈晓琳 康凯 刘珠妹 郭啟倩 |
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| 作者单位： | 1.中国地震局地震研究所(地震大地测量重点实验室),武汉市洪山侧路40号，4300712 湖北省地震局地震监测预报中心,武汉市洪山侧路40号，430071 |
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| 摘 要： | 提出一种基于Hbase的地震大数据存储方法，通过搭建测试平台、Java语言开发测试程序，并与MySQL在存储、查询结构化与非结构化数据方面进行性能对比。结果表明，Hbase存取地震数据耗时更低，在数据量多时，其性能更加显著。
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| 关 键 词： | 大数据 存储模式 NoSQL数据库 Hbase |
| 收稿时间： | 2015-01-30 |
Research of Earthquake Big Data Storage Based on Hbase |
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| LIU Jian,LI Shengle,DAI Miao,CHEN Xiaolin,KANG Kai,LIU Zhumei,GUO Qiqian. Research of Earthquake Big Data Storage Based on Hbase[J]. Journal of Geodesy and Geodynamics, 2015, 35(5): 890-893 |
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| Authors: | LIU Jian LI Shengle DAI Miao CHEN Xiaolin KANG Kai LIU Zhumei GUO Qiqian |
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| Affiliation: | 1.Key Laboratory of Earthquake Geodesy,Institute of Seismology, CEA, 40 Hongshance Road, Wuhan 430071, China;2.Center for Earthquake Monitoring and Prediction of Hubei Province,40 Hongshance Road, Wuhan 430071, China |
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| Abstract: | This paper presents an approach to store earthquake big data based on Hbase. We do so by setting up a test platform, Java language development test program, and MySQL in storage, query and structured and unstructured data for comparative testing of performance. The results show that, compared with the relational database MySQL, Hbase accesses earthquake data consuming less data volume over the long term, and that its performance is more significant. |
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| Keywords: | big data storage pattern NoSQL database Hbase |
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