摘要
借鉴传统的基于基表变化的数据仓库维护方法Strobe,提出一种基于源视图增量的在线实化视图自维护方法,使实化视图的状态保持与底层数据源的一致性。这种方法不仅保持数据仓库数据的一致性,而且还能够加快实化视图维护的速度,减少底层信息源与数据仓库之间的网络通信负担。
View maintenance is an important field in the research of dataware house. This paper got idea from the strobe algorithm and provided an online view self-maintenance method based on source view＇s increment to keep the materialized view consistent with the data sources. This method does not require querying back to data source; it can accelerate view maintenance and decrease the burden of communication between dataware house and data sources.
出处
《计算机应用》
CSCD
北大核心
2007年第6期1397-1399,共3页
journal of Computer Applications
基金
广东省科学技术基金项目(04105503
05200302)
关键词
源视图
视图自维护
数据仓库
source view
view self-maintenance
data warehouse
