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An Aggregate-A ware Retargeting Algorithm for Multiple Fact Data Warehouses

机译:用于多个事实数据仓库的聚合 - 一种诸如多个事实数据仓库的算法

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The use of pre-computed aggregate data is a common technique to address performance in Data Warehouse systems (DW), but the adoption of aggregates must be transparent. An aggregate retargeting mechanism redirects a query to available aggregate table(s) whenever possible. In this work, we present an aggregate retargeting mechanism that deals with multiple fact table schemas (MFTS), which are composed of many fact tables related by conformed dimensions. The algorithm provides two types of transparency: a) aggregate unawareness, and b) MFTS join complexity unawareness. The algorithm requires simple metadata, and it is non-intrusive. The paper presents the retargeting algorithm, required metadata and performance experiments.
机译:使用预先计算的聚合数据是一个常见的技术,用于解决数据仓库系统(DW)中的性能,但聚合的采用必须是透明的。聚合retargeting机制只要将查询重定向到可用的聚合表。在这项工作中,我们提出了一种聚合的重定重要机制,该机制处理多个事实表模式(MFT),这些机制由许多由符合尺寸相关的表格组成。该算法提供了两种类型的透明度:a)聚合不明确,b)MFT加入复杂性不明智。算法需要简单的元数据,它是非侵入性的。本文呈现了算法,所需的元数据和性能实验。

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