XPath queries on streaming data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
RPJ: producing fast join results on streams through rate-based optimization
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Efficient evaluation of XQuery over streaming data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
An Efficient XPath Query Processor for XML Streams
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Massively multi-query join processing in publish/subscribe systems
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
XMark: a benchmark for XML data management
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Maximizing the output rate of multi-way join queries over streaming information sources
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
The BEA/XQRL streaming XQuery processor
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
RRPJ: result-rate based progressive relational join
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
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We propose a practical approach to the progressive processing of (FWR) XQuery queries on multiple XML streams, called Twig'n Join (or TnJ). The query is decomposed into a query plan combining several twig queries on the individual streams, followed by a multi-way join and a final twig query. The processing is itself accordingly decomposed into three pipelined stages progressively producing streams of XML fragments. Twig'n Join combines the advantages of the recently proposed TwigM algorithm and our previous work on relational result-rate based progressive joins. In addition, we introduce a novel dynamic probing technique, called Result-Oriented Probing (ROP), which determines an optimal probing sequence for the multi-way join. This significantly reduces the amount of redundant probing for results. We comparatively evaluate the performance of Twig'n Join using both synthetic and reallife data from standard XML query processing benchmarks. We show that Twig'n Join is indeed effective and efficient for processing multiple XML streams.