DocumentCode
1442348
Title
On the Complexity of View Update Analysis and Its Application to Annotation Propagation
Author
Cong, Gao ; Fan, Wenfei ; Geerts, Floris ; Li, Jianzhong ; Luo, Jizhou
Author_Institution
Div. of Inf. Syst., Nanyang Technol. Univ., Singapore, Singapore
Volume
24
Issue
3
fYear
2012
fDate
3/1/2012 12:00:00 AM
Firstpage
506
Lastpage
519
Abstract
This paper investigates three problems identified in [1] for annotation propagation, namely, the view side-effect, source side-effect, and annotation placement problems. Given annotations entered for a tuple or an attribute in a view, these problems ask what tuples or attributes in the source have to be annotated to produce the view annotations. As observed in [1], these problems are fundamental not only for data provenance but also for the management of view updates. For an annotation attached to a single existing tuple in a view, it has been shown that these problems are often intractable even for views defined in terms of simple SPJU queries [1]. We revisit these problems by considering several dichotomies: (1) views defined in various subclasses of SPJU, versus SPJU views under a practical key preserving condition; (2) annotations attached to existing tuples in a view versus annotations on tuples to be inserted into the view; and (3) a single-tuple annotation versus a group of annotations. We provide a complete picture of intractability and tractability for the three problems in all these settings. We show that key preserving views often simplify the propagation analysis. Indeed, some problems become tractable for certain key preserving views, as opposed to the intractability of their counterparts that are not key preserving. However, group annotations often make the analysis harder. In addition, the problems have quite diverse complexity when annotations are attached to existing tuples in a view and when they are entered for tuples to be inserted into the view.
Keywords
computational complexity; database management systems; query processing; SPJU queries; annotation placement problem; annotation propagation analysis; data provenance; diverse complexity; group annotation; single tuple annotation; view update analysis; Algebra; Algorithm design and analysis; Complexity theory; Database systems; Polynomials; XML; Annotation; SPJU queries.; view maintenance; view updates;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/TKDE.2011.27
Filename
5708147
Link To Document