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ConQuer: efficient management of inconsistent databases
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Source International Conference on Management of Data archive
Proceedings of the 2005 ACM SIGMOD international conference on Management of data table of contents
Baltimore, Maryland
SESSION: Research papers: data cleaning and mapping table of contents
Pages: 155 - 166  
Year of Publication: 2005
ISBN:1-59593-060-4
Authors
Ariel Fuxman  University of Toronto
Elham Fazli  University of Toronto
Renée J. Miller  University of Toronto
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 72,   Citation Count: 25
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ABSTRACT

Although integrity constraints have long been used to maintain data consistency, there are situations in which they may not be enforced or satisfied. In this paper, we present ConQuer, a system for efficient and scalable answering of SQL queries on databases that may violate a set of constraints. ConQuer permits users to postulate a set of key constraints together with their queries. The system rewrites the queries to retrieve all (and only) data that is consistent with respect to the constraints. The rewriting is into SQL, so the rewritten queries can be efficiently optimized and executed by commercial database systems.We study the overhead of resolving inconsistencies dynamically (at query time). In particular, we present a set of performance experiments that compare the efficiency of the rewriting strategies used by ConQuer. The experiments use queries taken from the TPC-H workload. We show that the overhead is not onerous, and the consistent query answers can often be computed within twice the time required to obtain the answers to the original (non-rewritten) query.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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J. Chomicki, J. Marcinkowski, and S. Staworko. Hippo: A System for Computing Consistent Answers to a Class of SQL Queries. In EDBT, pages 841--844, 2004.
 
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N. Dalvi and D. Suciu. Efficient Query Evaluation on Probabilistic Databases. In VLDB, pages 864--875, 2004.
 
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T. Eiter, M. Fink, G. Greco, and D. Lembo. Efficient Evaluation of Logic Programs for Querying Data Integration Systems. In ICLP, pages 163--177, 2003.
 
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A. Fuxman and R. J. Miller. First-Order Query Rewriting for Inconsistent Databases. In ICDT, pages 337--351, 2005.
 
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D. Lembo, M. Lenzerini, and R. Rosati. Source Inconsistency and Incompleteness in Data Integration. In KRDB, 2002.

CITED BY  25
Collaborative Colleagues:
Ariel Fuxman: colleagues
Elham Fazli: colleagues
Renée J. Miller: colleagues