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.
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.
A Massive Small File Storage Solution Combination of RDBMS and Hadoop
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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