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    Accelerating XPath evaluation in any RDBMS

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    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.

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    Description

    Title : Accelerating XPath evaluation in any RDBMS
    Author(s) : Torsten Grust, Maurice Van Keulen, Jens Teubner
    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.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2004

    Affiliations Faculty of EEMCS, University of Twente, Enschede, The Netherlands
    Journal : ACM Transactions on Database Systems
    Volume : 29
    Issue : 1
    Publisher : ACM Press
    Pages : 91 - 131
    Url : http://portal.acm.org/citation.cfm?doid=974750.974754
    Doi : 10.1145/974750.974754

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