The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 20, 2012

Filed:

Dec. 08, 2008
Applicants:

Bishwaranjan Bhattacharjee, Yorktown Heights, NY (US);

Sam Sampson Lightstone, Toronto, CA;

Timothy Ray Malkemus, Round Rock, TX (US);

Sriram K. Padmanabhan, San Jose, CA (US);

Adam J. Storm, North York, CA;

Daniele Costante Zilio, Georgetown, CA;

Inventors:

Bishwaranjan Bhattacharjee, Yorktown Heights, NY (US);

Sam Sampson Lightstone, Toronto, CA;

Timothy Ray Malkemus, Round Rock, TX (US);

Sriram K. Padmanabhan, San Jose, CA (US);

Adam J. Storm, North York, CA;

Daniele Costante Zilio, Georgetown, CA;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
Abstract

Disclosed is a data processing system implemented method, a data processing system and an article of manufacture for improving execution efficiency of a database workload to be executed against a database. The database includes database tables, and the database workload identifies at least one of the database tables. The data processing system includes an identification module for identifying candidate database tables being identifiable in the database workload, the identified candidate database tables being eligible for organization under a clustering schema, a selection module for selecting the identified candidate tables according to whether execution of the database workload is improved if the selected identified candidate table is organized according to the clustering scheme, and an organization module for organizing the clustering schema of the selected organized identified candidate tables prior to the database workload being execution against the database.


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