基于关键属性比对的增量数据抽取方法  

Method of incremental data extraction based on pivotal attributes contract

作　　者：刘胜[1] 杨岳湘[1,2] 邓劲生[2] 李阳[2] 

机构地区：[1]国防科技大学计算机学院,长沙410073 [2]国防科技大学信息中心,长沙410073

出　　处：《计算机工程与应用》2012年第4期115-117,共3页Computer Engineering and Applications

摘　　要：概述了ETL目前常用的增量数据抽取方法,在全表比对方法基础上,提出了基于关键属性比对的增量数据提取方法,描述了关键属性提取算法,并建立其模型,用实验验证了基于关键属性比对的方法优于全表比对方法和全表删除插入方法。This paper outlines the present commonly used incremental data extraction method of ETL, in the foundation of method of the entire table contract, it proposes a method of incremental data extraction based on pivotal attributes contract. It describes the algorithm of pivotal attributes contract, and establishes its model. It is verified that the method based on pivotal attributes contract is superior to the method of the entire table contract and the method of the entire table deletion and insertion.

关 键 词：关键属性 增量数据抽取 全表比对 提取转换加载(ETL) 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]