| Publisher | Worcester Polytechnic Institute | ||
|---|---|---|---|
| Format | 142.4KB PDF | Date added | 15 Jan 2006 |
| Topics | XML, Programming Languages | ||
| Downloads | 56 | ||
XML stream applications bring the challenge of efficiently processing queries on sequentially accessible token-based data. For efficient processing of queries, there is a need to ensure that memory usage stays low. This in turn requires avoiding holding data in the query buffer, by outputting it at the earliest possible time. This paper proposes a new class of stream algebra operators for efficient recursive XQuery stream processing. In particular the paper proposes two strategies for implementing structural joins: the just-in-time structural join strategy efficiently processes joins as long as the input XML substreams are non-recursive and the recursive structural join strategy supports structural joins over recursive XML substreams, however at an added cost of tuple-level ID-comparisons.
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