期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2017
卷号：8
期号：1
页码：31-33
出版社：TechScience Publications
摘要：E-Commerce websites generates huge churns ofdata due to large amount of transactions taking place everysecond and so their inventory should be updated as pertransactions very quickly to remain stable in thesecompetitive markets. Searching in web log files has becomeone of the important tasks for E-commerce companies to findsuch an important file in big data. The objective is tocustomize the search process to meet the precise needs ofusers in big data. The primary focus of the paper is to searchfor appropriate file in big data and scale the performance ofSolr using Hadoop MapReduce. Solr is used in distributedenvironment through Hadoop.
