Accelerating XML Structural Join by Partitioning

Structural join is the core part of XML queries and has a significant impact on the performance of XML queries, several classical structural join algorithms have been proposed such as Stack-tree join and XR-Tree join. In this paper, we consider to answer the problem of structural join by partitioning. We first extend the relationships between nodes to the relationships between partitions in the plane and get some observations. We then propose a new partition-based method P-Join for structural join. Based on P-Join, moreover, we present an enhanced partitioned-based spatial structural join algorithm PSSJ.

[1]  Quanzhong Li,et al.  Indexing and Querying XML Data for Regular Path Expressions , 2001, VLDB.

[2]  Carlo Zaniolo,et al.  Efficient Structural Joins on Indexed XML Documents , 2002, VLDB.

[3]  Mengchi Liu,et al.  Query Processing and Optimization for Regular Path Expressions , 2003, CAiSE.

[4]  David J. DeWitt,et al.  On supporting containment queries in relational database management systems , 2001, SIGMOD '01.

[5]  Paul F. Dietz Maintaining order in a linked list , 1982, STOC '82.

[6]  Beng Chin Ooi,et al.  XR-tree: indexing XML data for efficient structural joins , 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

[7]  Jignesh M. Patel,et al.  Structural joins: a primitive for efficient XML query pattern matching , 2002, Proceedings 18th International Conference on Data Engineering.

[8]  Torsten. Grust,et al.  Accelerating XPath location steps , 2002, SIGMOD '02.