System and method for correlated fragmentations in databases

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

Reexamination Certificate

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C707S793000

Reexamination Certificate

active

09796928

ABSTRACT:
Apparatus and methods to identify a home fragment for a child row of a child table of a database, the home fragment for a row being the fragment in which the row is stored. A child key value of the child row is obtained and used to identify a fragment of a parent table that is correlated with the child key value of the child row. The child key value being the value of a child key attribute of the child row and represents a reference to a parent row in a parent table. The result is the home fragment for the child row that corresponds to identified fragment of a parent table that is correlated with the child key value of the child row.

REFERENCES:
patent: 5133068 (1992-07-01), Crus et al.
patent: 5553218 (1996-09-01), Li et al.
patent: 5924094 (1999-07-01), Sutter
patent: 6226650 (2001-05-01), Mahajan et al.
Kulkami et al, “Using semantic knowledge of partitioning and allocation of data in distributed databases”, vol. ii, Jan. 8-11, 1991, pp. 146-154.

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