Cardinality estimation of joins

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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C707S793000, C707S793000

Reexamination Certificate

active

10465148

ABSTRACT:
A method of estimating cardinality of a join of tables using multi-column density values and additionally using coarser density values of a subset of the multi-column density attributes. In one embodiment, the subset of attributes for the coarser densities is a prefix of the set of multi-column density attributes. A number of tuples from each table that participate in the join may be estimated using densities of the subsets. The cardinality of the join can be estimated using the multi-column density for each table and the estimated number of tuples that participate in the join from each table.

REFERENCES:
patent: 6865567 (2005-03-01), Oommen et al.
Nicolas Bruno & Surajit Chaudhuri, “Exploiting Statistics on Query Expressions for Optimization”, ACM SIGMOD Jun. 4-6, 2002, Madison, Wisconsin, USA.
Nicolas Bruno, “Automatic Management of Statictics on Query Expression in Relational Databases”, Department of Computer Science, Columbia University, Apr. 25, 2002, New York, NY.
Nicolas Bruno, Surajit Chaudhuri, Luis Gravano; “STHoles: a Multidimensional Workload-Aware Histogram”; ACM SIGMOD May 21-24, 2001; Santa Barbara, California, USA.
P.G. Selinger, M.M. Astrahan, D.D. Chamberlin, R.A. Lorie, T.G. Price: Access Path Selection in a Relational Database Management System,In Proceedings of the 1979 ACM Int'l Conference on Management of Data(SIGMOD '79), 1979.
H. Garcia-Molina, J.D. Ullman and Jennider Widom.Database System ImplementationPrentice Hall, 2000. (Section 7.4.4).

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