Holistic twig joins: optimal XML pattern matching
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Structural Joins: A Primitive for Efficient XML Query Pattern Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Efficient processing of XML twig patterns with parent child edges: a look-ahead approach
Proceedings of the thirteenth ACM international conference on Information and knowledge management
On boosting holism in XML twig pattern matching using structural indexing techniques
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
TwigStackList ¬: a holistic twig join algorithm for twig query with not-predicates on XML data
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
R-Programs: A Framework for Distributing XML Structural Joins across Function Calls
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
The VLDB Journal — The International Journal on Very Large Data Bases
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Twig pattern matching plays a crucial role in XML data processing. TwigStack [2] is a holistic twig join algorithm that solves the problem in two steps: (1) finding potentially useful intermediate path solutions, (2) merging the intermediate solutions. The algorithm is optimal when the twig pattern has only //-edges, in the sense that no useless partial solutions are generated in the first step (thus expediting the second step and boosting the overall performance). However, when /-edges are present, a large set of useless partial solutions may be produced, which directly downgrades the overall performance. Recently, some improved versions of the algorithm (e.g., TwigStackList and iTwigJoin) have been proposed in an attempt to reduce the number of useless partial solutions when /-edges are involved. However, none of the algorithms can avoid useless partial solutions completely. In this paper, we propose a new algorithm, TwigBuffer, that is guaranteed to completely avoid the useless partial solutions. Our algorithm is based on a novel strategy to buffer and manipulate elements in stacks and lists. Experiments show that TwigBuffer significantly outperforms previous algorithms when arbitrary /-edges are present.