VLDB '06 Proceedings of the 32nd international conference on Very large data bases
XMark: a benchmark for XML data management
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Parallelization of XPath queries using multi-core processors: challenges and experiences
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
XML Prefiltering as a String Matching Problem
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Semantics, Types and Effects for XML Updates
DBPL '09 Proceedings of the 12th International Symposium on Database Programming Languages
Generating efficient execution plans for vertically partitioned XML databases
Proceedings of the VLDB Endowment
Partial Evaluation for Distributed XPath Query Processing and Beyond
ACM Transactions on Database Systems (TODS)
Processing XML queries and updates on map/reduce clusters
Proceedings of the 16th International Conference on Extending Database Technology
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This paper presents an XML partitioning technique that allows main-memory query engines to process a class of XQuery queries, that we dub iterative queries, on arbitrarily large input documents. We provide a static analysis technique to recognize these queries. The static analysis is based on paths extracted from queries and does not need additional schema information. We then provide an algorithm using path information for partitioning the input documents of iterative queries. This algorithm admits a streaming implementation, whose effectiveness is experimentally validated.