首页> 外文会议>2003 Information Resources Management Association International Conference Vol.1; May 18-21, 2003; Philadelphia, Pennsylvania, USA >Implementation and Selection of Derived Partitioning for Optimizing the Performances of Relational Data Warehouses
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Implementation and Selection of Derived Partitioning for Optimizing the Performances of Relational Data Warehouses

机译:导出分区的实现和选择,以优化关系数据仓库的性能

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Many works have been done to optimize the performances of relational data warehouses. Three main techniques are available in relational DBMS or in specific systems : indexes including join indexes, materialized views, partitioning. Each one can be used alone, or combined with the others. In this paper we will consider more precisely the partitioning technique. In general, only the direct partitioning of a relation (i.e. according to the attributes of this relation) is possible. However, in the context of a warehouse, it would be interesting to be able to implement the derived partitioning which consists in partitioning a relation according to the attributes of another relation referenced by the first. We show how to implement a derived partitioning with a relational DBMS and we establish its interest through several experiments.
机译:为了优化关系数据仓库的性能,已经做了很多工作。关系DBMS或特定系统中可以使用三种主要技术:索引,包括连接索引,实例化视图,分区。每个都可以单独使用,也可以结合使用。在本文中,我们将更精确地考虑分区技术。通常,仅可以对关系进行直接分区(即,根据该关系的属性)。但是,在仓库的上下文中,能够实现派生的分区将很有趣,该派生的分区包括根据第一个引用的另一个关系的属性对一个关系进行分区。我们展示了如何使用关系DBMS来实现派生分区,并通过一些实验来建立它的兴趣。

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