计算机应用与软件2018，Vol.35Issue(3)：80-83,150,5.DOI:10.3969/j.issn.1000-386x.2018.03.015
基于MapReduce的档案数据快速查询设计与应用
DESIGN AND APPLICATION OF QUICK QUERY FILE DATA BASED ON MAPREDUCE
摘要
Abstract
The information resources for the traditional relational database file system integration requires each ETL storage and access table by table.If there is huge amounts of tables in the resource category system,it's unbearable for the system performance and efficiency,and if there is a new resource directory items to join,it's needs to create a new form in the database continually.So the corresponding software about lower-level adaptive software including reading, writing and searching,have to be re-developed.As a result, data management and development costs are so high that software code scalability and compatibility do not meet the needs of real-time applications.In this paper,we proposed a search method based on MapReduce to construct a data parsing and extraction function table to solve the query and system maintenance of relational data in OLAP application scenarios.The experiment proved that it had certain application value.关键词
档案/存储/NoSQL/MapReduceKey words
File/Storage/NoSQL/MapReduce分类
信息技术与安全科学引用本文复制引用
陈斯洁..基于MapReduce的档案数据快速查询设计与应用[J].计算机应用与软件,2018,35(3):80-83,150,5.
