XJoin:一种新颖的XML数据整体小枝匹配方案

S. Sheu, N. Wu, Jyun-Bo Chen
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引用次数: 0

摘要

作为查询树的骨架,结构连接操作(即整体小枝连接)是XML查询处理的核心。最近提出了一些技术,将查询树作为一个整体来处理,使用树节点上的链接堆栈链来验证部分结果。其思想是利用参与元素上的预构建索引来快速跳过元素实例之间的不匹配。但是,基于实例的跳过需要从索引树根到叶页的多次遍历。加速查询执行的能力非常有限。在本文中,我们提出了一种新的索引结构,可以完全跳过非限定元素组。无论连接选择如何,每个索引页最多访问一次。在续作中,我们的解决方案需要最小的I/O成本,因此大大减少了总体执行时间。经验证据表明,通过我们的新方法,可以实现比现有竞争对手50%以上的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
XJoin: a novel holistic twig matching scheme for XML data
As the skeleton of a query tree, structural join operations, namely holistic twig joins, are central to XML query processing. There are techniques proposed recently to process the query tree as a whole using a chain of linked stacks at tree nodes to verify partial results. The idea is to exploit pre-built indices on participating elements to quickly skip mismatches among element instances. However, instances-based skipping requires multiple traversals from index tree root to leaf pages. The capability of expediting query execution is very limited. In this paper, we propose a novel index structure to allow skipping groups of unqualified elements in entirety. Every index page is accessed at most once regardless of join selectivities. In the sequel, our solution requires minimal I/O cost and thus significantly reduces overall execution time. The empirical evidences demonstrate over 50% performance improvement over extant competitors is achievable by our new approach.
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