Affiliation:
1. University of Konstanz, Konstanz, Germany
2. University of Twente, Enschede, The Netherlands
Abstract
This article is a proposal for a database index structure, the
XPath accelerator
, that has been specifically designed to support the evaluation of XPath path expressions. As such, the index is capable to support
all
XPath axes (including ancestor, following, preceding-sibling, descendant-or-self, etc.). This feature lets the index stand out among related work on XML indexing structures which had a focus on the child and descendant axes only. The index has been designed with a close eye on the XPath semantics as well as the desire to engineer its internals so that it can be supported well by
existing
relational database query processing technology: the index (a) permits set-oriented (or, rather, sequence-oriented) path evaluation, and (b) can be implemented and queried using well-established relational index structures, notably B-trees and R-trees.We discuss the implementation of the XPath accelerator on top of different database backends and show that the index performs well on all levels of the memory hierarchy, including disk-based and main-memory based database systems.
Publisher
Association for Computing Machinery (ACM)
Reference30 articles.
1. Boncz P. A. 2002. Monet: A next-generation DBMS kernel for query-intensive applications. Ph.D. dissertation. University of Amsterdam The Netherlands.]] Boncz P. A. 2002. Monet: A next-generation DBMS kernel for query-intensive applications. Ph.D. dissertation. University of Amsterdam The Netherlands.]]
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