Pushing XPath Accelerator to its Limits

Two competing encoding concepts are known to scale well with growing amounts of XML data: XPath Accelerator encoding implemented by MonetDB for in-memory documents and X-Hive’s Persistent DOM for on-disk storage. We identified two ways to improve XPath Accelerator and present prototypes for the respective techniques: BaseX boosts inmemory performance with optimized data and value index structures while Idefix introduces native block-oriented persistence with logarithmic update behavior for true scalability, overcoming main-memory constraints. An easy-to-use Java-based benchmarking framework was developed and used to consistently compare these competing techniques and perform scalability measurements. The established XMark benchmark was applied to all four systems under test. Additional fulltext-sensitive queries against the well-known DBLP database complement the XMark results. Not only did the latest version of X-Hive finally surprise with good scalability and performance numbers...

• Type: Conference
• Year: 2006
• Where: EXPDB
• Authors: Christian Grün, Alexander Holupirek, Marc Kramis, Marc H. Scholl, Marcel Waldvogel
• Keywords: EXPDB 2006, Information Management, Main-memory Constraints, X-Hive’s Persistent DOM, XPath Accelerator