刘小俊, 徐正全, 潘少明. 一种结合RDBMS和Hadoop的海量小文件存储方法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(1): 113-115,120.
引用本文: 刘小俊, 徐正全, 潘少明. 一种结合RDBMS和Hadoop的海量小文件存储方法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(1): 113-115,120.
LIU Xiaojun, XU Zhengquan, PAN Shaoming. A Massive Small File Storage Solution Combination of RDBMS and Hadoop[J]. Geomatics and Information Science of Wuhan University, 2013, 38(1): 113-115,120.
Citation: LIU Xiaojun, XU Zhengquan, PAN Shaoming. A Massive Small File Storage Solution Combination of RDBMS and Hadoop[J]. Geomatics and Information Science of Wuhan University, 2013, 38(1): 113-115,120.

一种结合RDBMS和Hadoop的海量小文件存储方法

A Massive Small File Storage Solution Combination of RDBMS and Hadoop

  • 摘要: 提出了一种综合利用RDBMS和Hadoop云存储各自优势、同时避免各自缺陷的海量小文件存储方法。原型系统实验表明,该方法可以满足"数字城市"应用中小文件的存储需求,同时,也可作为其他具备结构化特征的海量小文件数据存储系统。

     

    Abstract: A comprehensive utilization of RDBMS and Hadoop cloud storage to their respective advantages,while avoiding their defects solution is proposed in this paper.The experimental results of the prototype system show that the proposed solution meets the application requirement of the "digital city",and at the same time,also it can be used as other ultra-small mass data storage system with structured characteristics.

     

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