XJoin索引:为XML数据建立索引,以便有效地处理分支路径表达式

E. Bertino, B. Catania, Wen Qiang Wang
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引用次数: 11

摘要

我们考虑索引XML数据以解决分支路径表达式的问题,目的是减少要执行的连接的数量,我们提出了一种简单而有效的连接索引方法,在应用任何结构连接算法之前缩小分支。我们提出的索引技术称为XJoin Index,它预先计算了一些结构(半)连接结果,从而减少了要计算的连接数量。预先计算的(半)连接支持以下操作:(i)属性选择,可能涉及多个属性;(ii)亲子关系的检测;(ii)计数选择,如查找至少有3位作者的所有书籍。与其他方法不同的是,基于特殊数据结构的XJoin Index完全基于B/sup +/-树,并且可以与目前提出的任何结构连接算法相结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
XJoin index: indexing XML data for efficient handling of branching path expressions
We consider the problem of indexing XML data for solving branching path expressions with the aim of reducing the number of joins to be executed and we propose a simple yet efficient join indexing approach to shrink the twig before applying any structural join algorithm. The indexing technique we propose, that we call XJoin Index, precomputes some structural (semi-)join results thus reducing the number of joins to be computed. Precomputed (semi-)joins support the following operations: (i) attribute selections, possibly involving several attributes; (ii) detection of parent-child relationships; (ii) counting selections, like Find all books with at least 3 authors. Unlike other approaches, based on specialized data structures XJoin Index is entirely based on B/sup +/-trees and can be coupled with any structural join algorithm proposed so far.
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