NDLI: Lazy XML updates: laziness as a virtue, of update and structural join efficiency

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Lazy XML updates: laziness as a virtue, of update and structural join efficiency

Content Provider	ACM Digital Library
Author	Catania, Barbara Ooi, Beng Chin Wang, Wenqiang Wang, Xiaoling
Abstract	XML documents are normally stored as plain text files. Hence, the natural and most convenient way to update XML documents is to simply edit the text files. But efficient query evaluation algorithms require XML documents to be indexed. Every element is given a unique identifier based on its location in the document or its preorder-traversal order, and this identifier is later used as (part of) the key in the index. Reassigning orders of possibly a large number of elements is therefore necessary when the original XML documents are updated. Immutable dynamic labeling schemes have been proposed to solve this problem, that, however, require very long labels and may decrease query performance. If we consider a real-world scenario, we note that many relatively small ad-hoc XML segments are inserted/deleted into/from an existing XML database. In this paper, we start from this consideration and we propose a new lazy approach to handle XML updates that also improves query performance. The lazy approach: (i) completely avoids reassigning existing element orders after updates; (ii) improves query processing by taking advantages from segments. Experimental results show that our approach is much more efficient in handling updates than using immutable labeling and, at the same time, it also improves the performance of recently defined structural join algorithms.
Starting Page	515
Ending Page	526
Page Count	12
File Format	PDF
ISBN	1595930604
DOI	10.1145/1066157.1066216
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-06-14
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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