Mapping XML to a Wide Sparse Table

— XML is commonly supported by SQL database systems. However, existing mappings of XML to tables can only deliver satisfactory query performance for limited use cases. In this paper, we propose a novel mapping of XML data into one wide table whose columns are sparsely populated. This mapping provides good performance for document types and queries that are observed in enterprise applications but are not supported efficiently by existing work. XML queries are evaluated by translating them into SQL queries over the wide sparsely-populated table. We show how to translate full XPath

• Type: Journal
• Year: 2012
• Where: ICDE
• Authors: Liang Jeff Chen, Philip A. Bernstein, Peter Carlin, Dimitrije Filipovic, Michael Rys, Nikita Shamgunov, James F. Terwilliger, Milos Todic, Sasa Tomasevic, Dragan Tomic
• Keywords: Database, ICDE 2012, Query Performance, SQL Database Systems, SQL Queries