Name
Abstract | ||
|---|---|---|
XML processing performance in database systems depends on static optimizations such as XML query rewrites, cost-based optimizations such as choosing appropriate XML indices, and the efficiency of runtime tasks like XML parsing and serialization. This paper discusses some of the runtime performance aspects of XML processing in relational database systems using Microsoft® SQL ServerTM 2005's approach as an example. It also motivates a non-textual storage as the preferred choice for storing XML natively. A performance evaluation of these techniques shows XML query performance improvements of up to 6 times. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11547273_16 | Xsym |
Keywords | Field | DocType |
xml query performance improvement,storing xml natively,xml processing,xml query rewrite,runtime xml processing,xml parsing,relational databases,runtime performance aspect,appropriate xml index,performance evaluation,cost-based optimizations,xml processing performance,database system,relational database,relational database system | Data mining,Efficient XML Interchange,XML Encryption,Streaming XML,Programming language,XML validation,Computer science,XML database,XML schema,Database,XML Schema Editor,XML Signature | Conference |
Volume | ISSN | ISBN |
3671 | 0302-9743 | 3-540-28583-0 |
Citations | PageRank | References |
1 | 0.37 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eugene Kogan | 1 | 41 | 2.03 |
| Gideon Schaller | 2 | 320 | 13.49 |
| Michael Rys | 3 | 244 | 44.21 |
| Hanh Huynh Huu | 4 | 1 | 0.37 |
| Babu Krishnaswamy | 5 | 8 | 1.54 |