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Index Structures for Matching XML Twigs Using Relational Query Processors

机译:使用关系查询处理器匹配XML树枝的索引结构

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Various index structures have been proposed to speed up the evaluation of XML path expressions. However, existing XML path indices suffer from at least one of three limitations: they focus only on indexing the structure (relying on a separate index for node content), they are useful only for simple path expressions such as root-to-leaf paths, or they cannot be tightly integrated with a relational query processor. Moreover, there is no unified framework to compare these index structures. In this paper, we present a framework defining a family of index structures that includes most existing XMLpath indices.We also propose two novel index structures in this family, with different space-time tradeoffs, that are effective for the evaluation of XML branching path expressions (i.e., twigs) with value conditions. We also show how this family of index structures can be implemented using the access methods of the underlying database system. Finally, we present an experimental evaluation that shows the performance tradeoff between index space and matching time. The experimental results show that our novel indices achieve orders ofmagnitude improvement in performance for evaluating twig queries, albeit at a higher space cost, over the use of previously proposed XML path indices that can be tightly integrated with a relational query processor.
机译:已经提出了各种索引结构来加速对XML路径表达式的评估。但是,现有的XML路径索引至少受到以下三个限制之一:它们仅专注于对结构进行索引(依赖于节点内容的单独索引),它们仅对简单的路径表达式(如从根到叶的路径)有用,否则它们无法与关系查询处理器紧密集成。而且,没有统一的框架来比较这些索引结构。在本文中,我们提出了一个框架定义了一个索引结构家族,其中包括大多数现有的XMLpath索引。我们还提出了这个家族中的两个新颖的索引结构,具有不同的时空折衷,可以有效地评估XML分支路径表达式(即树枝)具有价值条件。我们还展示了如何使用基础数据库系统的访问方法来实现这一系列的索引结构。最后,我们提出了一个实验评估,该评估显示了索引空间和匹配时间之间的性能折衷。实验结果表明,与使用先前提出的可与关系查询处理器紧密集成的XML路径索引相比,我们的新型索引在评估树枝查询时的性能方面实现了数量级的提高,尽管空间成本更高。

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