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Constraint checking with partial information
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Source Symposium on Principles of Database Systems archive
Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems table of contents
Minneapolis, Minnesota, United States
Pages: 45 - 55  
Year of Publication: 1994
ISBN:0-89791-642-5
Authors
Ashish Gupta  Stanford Univ., Stanford, CA
Yehoshua Sagiv  Stanford Univ., Stanford, CA
Jeffrey D. Ullman  Stanford Univ., Stanford, CA
Jennifer Widom  Stanford Univ., Stanford, CA
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 40,   Citation Count: 37
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ABSTRACT

Constraints are a valuable tool for managing information across multiple databases, as well as for general purposes of assuring data integrity. However, efficient implementation of constraint checking is difficult. In this paper we explore techniques for assuring constraint satisfaction without performing a complete evaluation of the constraints. We consider methods that use only constraint definitions, methods that use constraints and updates, and methods that use constraints, updates, and “local” data.


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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Gupta, A. {1994}. "Efficient Maintenance of Integrity Constraints and Views in Database Systems," Ph.D. thesis, Dept. of CS, Stanford University.
 
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Gupta. A. and J. D. Ullman {1992}. "Generalizing conjunctive query containment for view maintenance and integrity constraint verification," Joint Intl. Conf. on Logic Programming, Workshop on Deductive Databases.
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Nicolas, J.-M. {1982}. "Logic for improving integrity checking in relational databases," Acta Informatica 18:3, pp. 227-253.
 
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CITED BY  37


REVIEW

"Robert J. Tufts : Reviewer"

Constraint checking is one of many techniques used to ensure data integrity in distributed databases. It involves testing a potential update to ensure the resultant changes do not violate data consistency rules. An example might be testing an   more...

Collaborative Colleagues:
Ashish Gupta: colleagues
Yehoshua Sagiv: colleagues
Jeffrey D. Ullman: colleagues
Jennifer Widom: colleagues