摘要
针对现有物化视图选择算法无法很好解决OLAP随机查询的问题,提出了一种新型的两阶段物化视图选择算法(2-PMVS),将传统的静态选择算法与动态选择算法相结合,使其可以动态矫正用户随机查询与预估查询之间的偏差。经实验证明,该算法切实有效。
To address the problem that the current materialized view selection methods couldn't solve random OLAP query efficiently, this paper proposed a 2-Phases Materialized View Selection (2-PMVS) algorithm which combined static materialized view selection algorithm with dynamic materialized view selection algorithm. It could dynamically bridge the gap between random queries and default queries. The experiments validate the effectiveness of the algorithm.
出处
《计算机应用》
CSCD
北大核心
2009年第6期1605-1607,1611,共4页
journal of Computer Applications
基金
国家863计划项目(2007AA1123)
国家自然科学基金资助项目(70771110)
关键词
数据仓库
物化视图
两阶段物化视图选择算法
Data Warehouse (DW)
materialized view
2-Phases Materialized View Selection (2-PMVS)