DocumentCode
3123441
Title
XQuery Join Graph Isolation: Celebrating 30+ Years of XQuery Processing Technology
Author
Grust, Torsten ; Mayr, Manuel ; Rittinger, Jan
Author_Institution
Eberhard-Karls- Univ. Tubingen, Tubingen
fYear
2009
fDate
March 29 2009-April 2 2009
Firstpage
1167
Lastpage
1170
Abstract
A purely relational account of the true XQuery semantics can turn any relational database system into an XQuery processor. Compiling nested expressions of the fully compositional XQuery language, however, yields odd algebraic plan shapes featuring scattered distributions of join operators that currently overwhelm commercial SQL query optimizers. This work rewrites such plans before submission to the relational database back-end. Once cast into the shape of join graphs, we have found off-the-shelf relational query optimizers - the B-tree indexing subsystem and join tree planner, in particular - to cope and even be autonomously capable of "reinventing" advanced processing strategies that have originally been devised specifically for the XQuery domain, e.g., XPath step reordering, axis reversal, and path stitching. Performance assessments provide evidence that relational query engines are among the most versatile and efficient XQuery processors readily available today.
Keywords
SQL; query processing; relational databases; SQL query optimizers; XQuery join graph isolation; XQuery language; XQuery processing technology; XQuery semantics; join tree planner; relational database system; relational query engines; tree indexing subsystem; Data engineering; Encoding; Engines; Indexing; Isolation technology; Relational databases; Scattering; Shape; Tree graphs; XML; Pathfinder; SQL; XQuery; compilation; join graph; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
Conference_Location
Shanghai
ISSN
1084-4627
Print_ISBN
978-1-4244-3422-0
Electronic_ISBN
1084-4627
Type
conf
DOI
10.1109/ICDE.2009.192
Filename
4812492
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