User Charge Estimation in Numeric Online Databases: A Methodology |
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Page 6
... lower bound value , e.g. 1000 , and ⚫ the the upper bound value , e.g. 9999999 . The attribute description for the attribute PRODUCT - NO is now ( PRODUCT - NO , 250000 , int , 1000,9999999 ) , and the attribute description set of the ...
... lower bound value , e.g. 1000 , and ⚫ the the upper bound value , e.g. 9999999 . The attribute description for the attribute PRODUCT - NO is now ( PRODUCT - NO , 250000 , int , 1000,9999999 ) , and the attribute description set of the ...
Page 16
... lower and upper bounds can be decided . The actual range may still be strictly narrower as in the case of attibutes not included into the predicate . This is bypassed here . The upper and lower bounds of character string attributes are ...
... lower and upper bounds can be decided . The actual range may still be strictly narrower as in the case of attibutes not included into the predicate . This is bypassed here . The upper and lower bounds of character string attributes are ...
Page 9
... lower bound value , e.g. 1000 , and the the upper bound value , e.g. 9999999 . The attribute description for the attribute PRODUCT - NO is now ( PRODUCT - NO , 7 , 250000 , int , 1000 , 9999999 ) , and the attribute description set of ...
... lower bound value , e.g. 1000 , and the the upper bound value , e.g. 9999999 . The attribute description for the attribute PRODUCT - NO is now ( PRODUCT - NO , 7 , 250000 , int , 1000 , 9999999 ) , and the attribute description set of ...
Contents
USER CHARGING | 13 |
THE RELATIONAL DATA MODEL | 20 |
CARDINALITY ESTIMATION IN NUMERIC ONLINE | 32 |
Copyright | |
7 other sections not shown
Common terms and phrases
A-names access strategy Appendix approach attribute description set attribute name set attribute selectivity attribute values attributes PRODUCT-NO basis BDBs candidate keys cardinality estimation charging methods CODATA components computed connect-time considered constructed data model database files Database Management Database Management Systems database user developed elementary predicates English Summary example expression F1 and F2 FD-set file design file organization file structures Finland functional dependencies implementation information retrieval Information Science intermediate files inverted file Järvelin join attribute join predicate julkaisuja manipulation MANUF-NO MARKET-SHARE methodology n-tuple NDBs Numeric Databases online databases operand file description procedure cost model processing cost PRODUCTS file QSALES query cardinality query cost modelling query negotiation query optimization query processing query results r-card r-description RA operations records relational algebra relational data model restriction predicate result file description SIGMOD sort-key storage parameters Systems TAHITI TRADEMARK TYPE unit charges University of Tampere upper bound user charge estimation vendor