Hadoop在客票日志处理系统中的应用  

Application of Hadoop in Log Processing System of Ticketing and Reservation System

作　　者：苗凡 戴琳琳[1] 阎志远[1] 梅巧玲[1] 

机构地区：[1]中国铁道科学研究院电子计算技术研究所,北京100081

出　　处：《铁路计算机应用》2014年第5期32-34,共3页Railway Computer Application

摘　　要：借助Hadoop技术提出了一种新的架构,用于处理客票系统中产生的海量交易日志。首先将多个业务的数据收集起来并以一定的格式存储在hase与hive中,然后对平台中的数据进行建模分析从中提取出有价值的关键业务信息。目前该系统已经开发完成,切实提高了客票系统维护与运营的水平和效率。This paper,with the aid of Hadoop technologies,proposed a new architecture according to the transaction log which produced in Ticketing and Reservation System （TRS）.First business data was modeled and saved in hase and hive with specific format,then the interested key business information was extracted by designed business rules.At present,the System has been developed,the level and efficiency of maintenance and operation were improved.

关 键 词：HADOOP 大数据 客票系统 日志处理系统 

分 类 号：U293.22[交通运输工程—交通运输规划与管理] TP39[交通运输工程—道路与铁道工程]