XJoin index: indexing XML data for efficient handling of branching path expressions

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

Abstract

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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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
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。
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