NDLI: Estimating XML Structural Join Size Quickly and Economically

Content Provider	IEEE Xplore Digital Library
Author	Cheng Luo Zhewei Jiang Wen-Chi Hou Feng Yan Chih-Fang Wang
Copyright Year	2006
Description	Author affiliation: Southern Illinois University (Cheng Luo)
Abstract	XML structural joins, which evaluate the containment (ancestor-descendant) relationships between XML elements, are important operations of XML query processing. Estimating structural join size accurately and quickly is thus crucial to the success of XML query plan selection and the query optimization. XML structural joins are essentially complex unequal joins, which render well-known estimation techniques, such as cosine transform, wavelet transform, and sketch, not directly applicable. In this paper, we propose a relation model to capture the structural information of XML data such that the original complex unequal joins are converted to equal joins and those well-known estimation techniques become directly applicable to structural join size estimation. Theoretical analyses and extensive experiments have been performed on these estimation methods. It is shown that the cosine transform requires the least memory and yields the best estimates.
Starting Page	62
Ending Page	62
File Size	346698
Page Count	1
File Format	PDF
ISBN	0769525709
DOI	10.1109/ICDE.2006.63
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	XML Query processing Wavelet transforms Statistics Internet Costs Computer science Performance analysis Yield estimation Tree graphs
Content Type	Text
Resource Type	Article

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