| Constraint checking with partial information |
| Full text |
Pdf
(1.03 MB)
|
| 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
|
|
| Sponsors |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 8, Downloads (12 Months): 40, Citation Count: 37
|
|
|
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.
 |
1
|
|
| |
2
|
|
| |
3
|
|
 |
4
|
Ashok K. Chandra , Harry R. Lewis , Johann A. Makowsky, Embedded implicational dependencies and their inference problem, Proceedings of the thirteenth annual ACM symposium on Theory of computing, p.342-354, May 11-13, 1981, Milwaukee, Wisconsin, United States
[doi> 10.1145/800076.802488]
|
 |
5
|
|
 |
6
|
|
| |
7
|
|
 |
8
|
|
| |
9
|
Gupta, A. {1994}. "Efficient Maintenance of Integrity Constraints and Views in Database Systems," Ph.D. thesis, Dept. of CS, Stanford University.
|
| |
10
|
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.
|
 |
11
|
|
 |
12
|
|
| |
13
|
|
| |
14
|
Nicolas, J.-M. {1982}. "Logic for improving integrity checking in relational databases," Acta Informatica 18:3, pp. 227-253.
|
| |
15
|
|
 |
16
|
|
 |
17
|
|
| |
18
|
|
| |
19
|
|
 |
20
|
|
CITED BY 37
|
|
|
|
|
Daniela Florescu , Alon Levy , Dan Suciu, Query containment for conjunctive queries with regular expressions, Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, p.139-148, June 01-04, 1998, Seattle, Washington, United States
|
|
|
|
|
|
Diego Calvanese , Giuseppe De Giacomo , Maurizio Lenzerini, On the decidability of query containment under constraints, Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, p.149-158, June 01-04, 1998, Seattle, Washington, United States
|
|
|
|
|
|
|
|
|
Anand Rajaraman , Yehoshua Sagiv , Jeffrey D. Ullman, Answering queries using templates with binding patterns (extended abstract), Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, p.105-112, May 22-25, 1995, San Jose, California, United States
|
|
|
Todd Millstein , Alon Levy , Marc Friedman, Query containment for data integration systems, Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, p.67-75, May 15-18, 2000, Dallas, Texas, United States
|
|
|
|
|
|
Alon Y. Levy , Anand Rajaraman , Jeffrey D. Ullman, Answering queries using limited external query processors (extended abstract), Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, p.227-237, June 04-06, 1996, Montreal, Quebec, Canada
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
K. Selçuk Candan , Divyakant Agrawal , Wen-Syan Li , Oliver Po , Wang-Pin Hsiung, View invalidation for dynamic content caching in multitiered architectures, Proceedings of the 28th international conference on Very Large Data Bases, p.562-573, August 20-23, 2002, Hong Kong, China
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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...
|