Abstract
Grammar-based XML compression reduces the volume of big XML data collections, but fast updates of compressed data may become a bottleneck. An open question still was, given an XPath Query and an update operation, how to efficiently compute the update positions within a grammar representing a compressed XML file. In this paper, we propose an automaton-based solution, which computes these positions, combines them in a so-called Update DAG, supports parallel updates, and uses dynamic programming to avoid an implicit decompression of the grammar. As a result, our solution updates compressed XML even faster than MXQuery and Qizx update uncompressed XML.
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Böttcher, S., Hartel, R., Jacobs, T. (2013). Fast Multi-update Operations on Compressed XML Data. In: Gottlob, G., Grasso, G., Olteanu, D., Schallhart, C. (eds) Big Data. BNCOD 2013. Lecture Notes in Computer Science, vol 7968. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39467-6_15
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DOI: https://doi.org/10.1007/978-3-642-39467-6_15
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