MongoDB在期刊数据库日志管理应用的探析--以上海图书馆《全国报刊索引》全文库为例

Log Analysis of Chinese Periodical Full-text Database Based on MongoDB--and Management System Research and Implementation

随着读者访问民国全文数据库的快速增长和下载量的增大,后台的日志数据量和并发量也急剧增长,需要找到适宜的日志数据库系统来进行管理。本文通过对非关系性数据库MongoDB与关系型数据库MySQL在海量日志数据管理上的比较分析,最终选取MongoDB数据库,在上海图书馆的《全国报刊索引》平台民国全文数据库建立了一套日志管理系统。该系统建立运行后,取得了良好的效果,极大的提高了平台日志数据管理效率和分析应用水平,为民国全文数据库的日志管理提供一种解决方案。

With the rapid growth of readers’access to the literature database,the amount of log data and concurrent data in the background have also increased dramatically.It is necessary to find a suitable log database system for management.In this paper,through the comparative analysis of the non-relational database MongoDB and the relational database MySQL in the massive log data management,the MongoDB database is finally selected.A log management system was established on the National Newspaper Index platform.After the system was established and operated,it achieved good results,greatly improved the management efficiency and analysis and application level of massive log data,and provided a solution for log management of the literature database.