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Global query optimization
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Source International Conference on Management of Data archive
Proceedings of the 1986 ACM SIGMOD international conference on Management of data table of contents
Washington, D.C., United States
Pages: 191 - 205  
Year of Publication: 1986
ISBN:0-89791-191-1
Also published in ...
Author
Timos K. Sellis  Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA
Sponsor
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): 26,   Citation Count: 32
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ABSTRACT

In some recently proposed extensions to relational database systems as well as in deductive databases, a database system is presented with a collection of queries to process instead of just one. It is an interesting problem then, to come up with algorithms that process these queries together instead of one query at a time. We examine the problem of multiple (global) query optimization in this paper. A hierarchy of algorithms that can be used for global query optimization is exhibited and analyzed. These algorithms range from an arbitrary serial execution without any sharing of common results among the queries to an exhaustive search of all possible ways to process all queries.


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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CITED BY  32