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Overview:
Several native approaches to storing large XML data sets exist. In all of these approaches the internal data representation is designed to support any ad-hoc XQuery query. This paper argues that XQuery and its data model are too universal and any one-size-fits-all XML representation leads to significant overheads in terms of representation size and complexity. Based on the consideration that in many applications queries/updates workload is known in advance and does not change often, the paper proposes an application-tailored XML storage. Elimination of the superfluous XQuery data model features and utilization of the various physical data representations improve performance on the specified workload, while ad-hoc queries support can be limited.
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| Format: | Size: | 122 KB | |
| Date: | Jan 2008 | ||
| Pages: | 7 |
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