Document Type

Journal Article

Department/Unit

Department of Computer Science

Language

English

Abstract

Views and their updates have long been a fundamental technology required in a wide range of applications. However, it has been known that updates through views is a classical intractable problem. In this paper, we propose a novel, data-oriented approach to this problem that provides a practical support for view updates. In particular, we propose a summarization of the source database of views, which serves as an update filter. The update filter aims to efficiently reject untranslatable view updates by estimating the side effects of the updates, thereby avoiding costly translation analysis. For applications where estimation errors are not preferred, our update filter can be tuned to be exact. In this paper, we present our approach with SPJ views, an important class of view definitions. We first revise the notion of estimation errors to quantify the filter's qualities. We then propose a novel join cardinality summary (JCard) derived from cardinality equivalence. An estimation algorithm is proposed. Finally, we present optimizations enabling the construction of an accurate JCard through heuristics and sampling. Our extensive experiments show that update filters are efficient and can be easily tuned to produce accurate estimations on TPC-H and DBLP.

Keywords

Database Management, Relational databases

Publication Date

9-2014

Source Publication Title

IEEE Transactions on Knowledge and Data Engineering

Volume

26

Issue

9

Start Page

2307

End Page

2322

Publisher

Institute of Electrical and Electronics Engineers

Peer Reviewed

1

Copyright

1041-4347©2013 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.

DOI

10.1109/TKDE.2013.115

Link to Publisher's Edition

http://dx.doi.org/10.1109/TKDE.2013.115

ISSN (print)

10414347

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