计算机科学与探索 ›› 2010, Vol. 4 ›› Issue (5): 473-479.DOI: 10.3778/j.issn.1673-9418.2010.05.010

• 学术研究 • 上一篇    下一篇

为物化视图选择构造搜索空间的新策略IMVPP *

夏小玲, 张 红+   

  1. 东华大学 计算机科学与技术学院, 上海 201620
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-05-11 发布日期:2010-05-11
  • 通讯作者: 张 红

New Strategy of Constructing Search Spaces for Materialized IMVPP*

XIA Xiaoling, ZHANG Hong+   

  1. Computer Science and Technology College of Donghua University, Shanghai 201620, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-05-11 Published:2010-05-11
  • Contact: ZHANG Hong

摘要: 数据仓库中物化视图选择算法的代价与搜索空间的尺寸紧密相关。提出了一种基于输入查询的公共子表达式的候选视图搜索空间构造方法IMVPP, 利用算法1计算出的公共子表达式, 能被其他查询共享, 并可对输入查询进行重写, 有利于缩减视图搜索空间, 提高查询效率。理论分析与实验结果表明, 此方法是有效、可行的。

关键词: 数据仓库, 物化视图, 物化视图处理方法, 查询图, 公共子表达式

Abstract: The materialized view selection algorithms are closely related to the size of the search space. This paper proposes a new strategy IMVPP of constructing search space for materialized views selection based on the common expression of the input queries, which calculate the max common sub-expression using algorithm 1, can be shared by the other queries, and can rewrite the input queries, which is of benefit to reduce the search space and improve the querying efficiency. Theoretical analysis and comparative experiment indicate that IMVPP operates more effectively than MVPP.

Key words: data warehouse, materialized view, materialized-view processing plan(MVPP), query graph, common sub-expression

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