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Evaluating XML-extended OLAP queries based on a physical algebra

机译:根据物理代数评估XML扩展的OLAP查询

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摘要

In today OLAP systems, physically integrating fast-changing data (e.g., stock quotes) into a cube is complex and time-consuming. The data is likely to be available in XML format on the World Wide Web (WWW); thus, instead of physical integration, making XML data logically federated with OLAP systems is desirable. In this article, we extend previous work on the logical federation of OLAP and XML data sources by presenting simplified query semantics, a physical query algebra, and a robust OLAP-XML query engine, as well as the query evaluation techniques. Performance experiments with a prototypical implementation suggest that the performance for OLAP-XML federations is comparable to queries on physically integrated data.
机译:在当今的OLAP系统中,将快速变化的数据(例如股票报价)物理集成到多维数据集中是复杂且费时的。数据很可能以XML格式在万维网(WWW)上提供;因此,代替物理集成,使XML数据与OLAP系统逻辑联合是可取的。在本文中,我们通过提供简化的查询语义,物理查询代数和健壮的OLAP-XML查询引擎以及查询评估技术,扩展了有关OLAP和XML数据源的逻辑联合的先前工作。使用原型实现的性能实验表明,OLAP-XML联合的性能可与对物理集成数据的查询相比。

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