基于Hive的Web日志分析  

Web Logs Analysis Based on Hive

作　　者：周洪斌[1] ZHOU Hongbin(Shazhou Professional Institute of Technology,Zhangjiagang 215600,Jiangsu,China)

机构地区：[1]沙洲职业工学院,江苏张家港215600

出　　处：《沙洲职业工学院学报》2018年第1期1-4,共4页Journal of Shazhou Professional Institute of Technology

基　　金：江苏省高等职业教育产教深度融合实训平台建设项目(201618);江苏省教育科学"十三五"规划青年专项重点课题(C-b/2016/03/17)

摘　　要：随着网站访问量的急剧增大,企事业单位的Web日志数据量日益庞大。传统方法对海量数据处理较为困难,基于开源分布式Hadoop平台的Hive数据仓库为海量数据分析提供了直观、便捷的方式。采用Hive对企业Web日志进行处理,对用户浏览行为进行统计、分析,对维护网络空间安全具有指导意义。With the rapid increase of website visits,the amount of Web log data is numerous.The traditional methods are difficult to deal with mass data.The Hive data warehouse based on Hadoop provides an intuitive and convenient way for mass data analysis.By means of Hive to deal with the enterprise Web logs and analyzing,the browsing behavior of users is of guiding significance to the maintenance of cyberspace security.

关 键 词：HADOOP Hive WEB日志 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]