A Fast Index for Semistructured Data

Queries navigate semistructured data via path expressions, and can be accelerated using an index. Our solution encodes paths as strings, and inserts those strings into a special index that is highly optimized for long and complex keys. We describe the Index Fabric, an indexing structure that provides the efficiency and flexibility we need. We discuss how "raw paths" are used to optimize ad hoc queries over semistructured data, and how "refined paths" optimize specific access paths. Although we can use knowledge about the queries and structure of the data to create refined paths, no such knowledge is needed for raw paths. A performance study shows that our techniques, when implemented on top of a commercial relational database system, outperform the more traditional approach of using the commercial system’s indexing mechanisms to query the XML.

• Type: Conference
• Year: 2001
• Where: VLDB
• Authors: Brian F. Cooper, Neal Sample, Michael J. Franklin, Gísli R. Hjaltason, Moshe Shadmon
• Keywords: Raw Paths, Refined Paths, Semistructured Data, VLDB 2001