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Prairie: A Rule Specification Framework for Query Optimizers (1995)  (Make Corrections)  (13 citations)
Dinesh Das, Don Batory
International Conference on Database Engineering



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Abstract: From our experience, current rule-based query optimizers do not provide a very intuitive and well-defined framework to define rules and actions. To remedy this situation, we propose an extensible and structured algebraic framework called Prairie for specifying rules. Prairie facilitates rule-writing by enabling a user to write rules and actions more quickly, correctly and in an easy-to-understand and easy-to-debug manner. Query optimizers consist of three major parts: a search space, a cost... (Update)

Context of citations to this paper:   More

...extensible and automatically updatable. In this paper, we describe extensions to the Prairie tool and rule specification language [7, 8] that meet this demand for rule set extensibility. Monolithic rule sets can be modularized as compositions of primitive rule sets. By...

...all of these concerns. The techniques we used for optimizing type equations are very similar to those of rule based query optimization [Das95, War97]. A query is represented by an expression where terms correspond to relational operators (e.g. join, sort, select) Query...

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BibTeX entry:   (Update)

D. Das, D. Batory. Prairie: A Rule Specification Framework for Query Optimizers. In Proceedings of the 11th International Conference on Data Engineering, 201-210, Taipei, March 1995. http://citeseer.ist.psu.edu/das95prairie.html   More

@inproceedings{ das95prairie,
    author = "D. Das and D. Batory",
    title = "{Prairie: {A} Rule Specification Framework for Query Optimizers}",
    booktitle = "International Conference on Database Engineering",
    pages = "201--210",
    year = "1995",
    url = "citeseer.ist.psu.edu/das95prairie.html" }
Citations (may not include all citations):
389   Access path selection in a relational database management sy.. (context) - Selinger, Astrahan et al. - 1979  ACM   DBLP
330   Query evaluation techniques for large databases (context) - Graefe - 1993  ACM   DBLP
106   The EXODUS optimizer generator - Graefe, DeWitt - 1987  ACM   DBLP
93   Extensible query processing in Starburst (context) - Haas, Freytag et al. - 1988  ACM   DBLP
77   The architecture of the EXODUS extensible DBMS - Carey, DeWitt et al. - 1986  ACM   DBLP
73   Experiences building the Open OODB query optimizer (context) - Blakeley, McKenna et al. - 1993  ACM   DBLP
67   Grammar-like functional rules for representing query optimiz.. (context) - Lohman - 1988  ACM   DBLP
44   Architecture of an open objectoriented database management s.. (context) - Wells, Blakeley et al. - 1992
32   Distributed query processing (context) - Yu, Chang - 1984  ACM   DBLP
29   Extensibility in the Starburst database system (context) - Schwarz, Chang et al. - 1986  ACM   DBLP
17   Rule-Based Query Optimization in Extensible Database Systems (context) - Graefe - 1987  ACM
14   Access path selection in distributed data base management sy.. (context) - Selinger, Adiba - 1980
13   Query Processing in Database Systems (context) - Kim, Reiner et al. - 1985  ACM   DBLP
12   an extensible and parallel query evaluation system (context) - Graefe - 1990
12   A rule-based view of query optimization (context) - ChristophFreytag - 1987  ACM   DBLP
10   An introduction to distributed query compilation in R (context) - Daniels, Selinger et al. - 1982
10   Michael Stonebraker and Lawrence (context) - Stonebraker, The et al. - 1986
4   Prairie: An algebraic framework for rule specification in qu.. (context) - Das, Batory - 1993
4   Building blocks of database management systems (context) - Batory - 1988
2   IBM Research Laboratory (context) - Lohman, Mohan et al. - 1984



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