DBTest '12 Proceedings of the Fifth International Workshop on Testing Database Systems
Building an efficient RDF store over a relational database
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Growing triples on trees: an XML-RDF hybrid model for annotated documents
The VLDB Journal — The International Journal on Very Large Data Bases
| Hi-index | 0.00 |
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 1.0 into SQL. Based on the characteristics of the new mapping, we present rewriting optimizations that minimize the number of joins. Experiments demonstrate that query evaluation over the new mapping delivers considerable improvements over existing techniques for the target use cases.