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Automatic Relationship Discovery in Self-Managing Database Systems Ihab Ilyas1
 

Summary: Automatic Relationship Discovery in Self-Managing Database Systems
Ihab Ilyas1
Volker Markl2
Peter J. Haas2
Paul G. Brown2
Ashraf Aboulnaga2
1
Purdue University, West Lafayette, Indiana
2
IBM Almaden Research Center, San Jose, California
ilyas@cs.purdue.edu, {marklv,phaas,pbrown1,aashraf}@us.ibm.com
1. Introduction
Relational database management systems rely on the query-
optimizer component to choose a minimum-cost plan for access-
ing the data. The optimizer's cost estimates rest on "selectivity"
estimates, that is, estimates of the amount of data that will be ac-
cessed at each stage of processing. Such selectivity estimates are
in turn based on a set of summary statistics about the data (i.e.,
about the relational tables and columns) that are maintained in the
system catalog. In traditional systems, the user specifies the set of

  

Source: Aboulnaga, Ashraf - School of Computer Science, University of Waterloo
Ilyas, Ihab Francis - School of Computer Science, University of Waterloo

 

Collections: Computer Technologies and Information Sciences