摘要
首先针对我军装备保障管理系统关系数据库在海量数据查询以及分析处理方面的不足,在对系统数据资源分析的基础上提出并实现了基于Hadoop云平台结构化数据查询策略,通过Sqoop工具将数据库中的数据导入到HDFS中,并利用Hive进行数据分析.然后通过实验证明此方法克服了海量数据在单机环境中查询效率低下的缺点,具有较高的实用价值.
First, this paper talked about the deficiencies of current Equipment Support Management System on massive data query and analysis. Then it proposed and realized a method of Structured Data Query used by the Cloud Platform based on Hadoop, after analyzing the data source. In the article, we used the tool of Sqoop to import data from a relational database into HDFS, and then use Hive to analyze the data. Finally, the experiment proved that the method makes up the shortage of the data query in the environment of single computer, and has high practical value.
出处
《计算机系统应用》
2015年第2期70-74,共5页
Computer Systems & Applications
