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基于数据块的关系数据库日志挖掘技术
引用本文:彭巍,邵佳炜,雷振江,吕旭明,聂庆节,刘赛. 基于数据块的关系数据库日志挖掘技术[J]. 计算机系统应用, 2016, 25(7): 219-224
作者姓名:彭巍  邵佳炜  雷振江  吕旭明  聂庆节  刘赛
作者单位:国网上海市电力公司, 上海 200122,国网上海市电力公司, 上海 200122,国网辽宁省电力有限公司, 沈阳 110004,国网辽宁省电力有限公司, 沈阳 110004,国网电力科学研究院, 南京 210003,国网电力科学研究院, 南京 210003
基金项目:国家电网公司总部科技项目
摘    要:在关系型数据库中数据库通过Redo日志来实现事物的快速提交,并记录事物的操作过程与操作内容.通过对Redo日志的分析与变化数据内容的捕获,将变化数据传送到灾备端,并在灾备端实现变化数据的写入,是目前数据库复制最主要实现原理.本文分析了oralce数据库Redo日志文件结构,阐述了日志文件头标志位信息.结合Redo 日志文件头定位分析技术,给出了一种基于数据块的数据库Redo日志挖掘算法.通过测试分析,验证了该Redo日志挖掘技术的可行性与可靠性.最后展望了下一步的研究方向.

关 键 词:Redo日志  日志分析  日志定位  日志挖掘  数据库复制
收稿时间:2015-10-27
修稿时间:2015-11-27

Relational Database RedoLog Mining Technology Based on Data Block
PENG Wei,SHAO Jia-Wei,LEI Zhen-Jiang,LV Xu-Ming,NIE Qing-Jie and LIU Sai. Relational Database RedoLog Mining Technology Based on Data Block[J]. Computer Systems& Applications, 2016, 25(7): 219-224
Authors:PENG Wei  SHAO Jia-Wei  LEI Zhen-Jiang  LV Xu-Ming  NIE Qing-Jie  LIU Sai
Affiliation:Shanghai Municipal Electric Power Company, Shanghai 200122, China,Shanghai Municipal Electric Power Company, Shanghai 200122, China,State Grid Liaoning Electric Power Co.Ltd, Shenyang 110004, China,State Grid Liaoning Electric Power Co.Ltd, Shenyang 110004, China,State Grid Electric Power Research Institute, Nanjing 210003, China and State Grid Electric Power Research Institute, Nanjing 210003, China
Abstract:The relational database can submit objects rapidly by means of the Redo log and also can record the operation process and the operation content. The most important method to realize database replication is transmitting and writing changed data in the disaster backup end through the analysis of the Redo log and the capturing of the changed data contents. The structure of Oracle Redo log file database is analyzed in this paper, and the header information of the log file is also stated. Considering the technology of Redo log file head positioning, the paper presents a Redo log database mining algorithm based on data block. The paper also validates the feasibility and reliability of the technology of the Redo log mining through the comparative analysis. Research direction is discussed at last.
Keywords:redo log  log analysis  log location  log mining  database replication
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