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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Al-Khalifa, S. Jagadish, H.V. Koudas, N. Patel, J.M. Srivastava, D. Yuqing Wu |
| Copyright Year | 2002 |
| Abstract | XML queries typically specify patterns of selection predicates on multiple elements that have some specified tree structured relationships. The primitive tree structured relationships are parent-child and ancestor-descendant, and finding all occurrences of these relationships in an XML database is a core operation for XML query processing. We develop two families of structural join algorithms for this task: tree-merge and stack-tree. The tree-merge algorithms are a natural extension of traditional merge joins and the multi-predicate merge joins, while the stack-tree algorithms have no counterpart in traditional relational join processing. We present experimental results on a range of data and queries using the TIMBER native XML query engine built on top of SHORE. We show that while, in some cases, tree-merge algorithms can have performance comparable to stack-tree algorithms, in many cases they are considerably worse. This behavior is explained by analytical results that demonstrate that, on sorted inputs, the stack-tree algorithms have worst-case I/O and CPU complexities linear in the sum of the sizes of inputs and output, while the tree-merge algorithms do not have the same guarantee. |
| Sponsorship | IEEE Comput. Soc. Tech. Committee on Data Eng. |
| Starting Page | 141 |
| Ending Page | 152 |
| File Size | 406807 |
| Page Count | 12 |
| File Format | |
| ISBN | 0769515312 |
| ISSN | 10636382 |
| DOI | 10.1109/ICDE.2002.994704 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-02-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | XML Pattern matching Relational databases Engines Books Query processing Algorithm design and analysis Database languages Database systems Data engineering |
| Content Type | Text |
| Resource Type | Article |
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