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Why Off-the-Shelf RDBMSs are Better at XPath Than You Might Expect

Summary: Off-the-shelf RDBMSs can handle XPath without kernel changes. Partitioned B-trees speed axes; aggregation-based pruning avoids duplicates; optimizer rewritings enable efficient XPath evaluation on DBMS; IBM DB2 experiments confirm practicality. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3981
Venue
SIGMOD
Year
2007
Pagerank
5.6073128e-05
Overall Rank
7,486 | 48.64%
DOI
10.1145/1247480.1247591

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{grust_sigmod07,
        title = {{Why Off-the-Shelf RDBMSs are Better at XPath Than You Might Expect}},
        author = {Grust, Torsten and Rittinger, Jan and Teubner, Jens},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247591},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247591},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
4,588 Join Query Optimization Techniques for Complex Event Processing Applications 2018 VLDB 6.6167545e-05
9,090 A SQL:1999 Code Generator for the Pathfinder XQuery Compiler 2007 SIGMOD 5.3251649e-05
12,499 Cost Based Plan Selection for XPath 2009 SIGMOD 5.093636e-05
12,606 Implementing Filesystems by Tree-aware DBMSs 2008 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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