Method for fast deletion of physically clustered data

Details Method for fast deletion of physically clustered data Method for fast deletion of physically clustered data

2011-08-23

2011-08-23

Colan, Giovanna (Department: 2162)

Data processing: database and file management or data structures

Database design

Database and data structure management

C707S758000, C707S953000

Reexamination Certificate

active

08005872

ABSTRACT:
A computer implemented method, apparatus, and computer usable program code for deleting rows in a multidimensionally clustering database. A multidimensional clustering processor receives a request to delete a set of multidimensionally clustering data. The multidimensional clustering processor determines whether all multidimensionally clustering data is located in a block. Responsive to all multidimensionally clustered data qualifying for deletion, the multidimensional clustering processor deletes all data in the block to delete the set of multidimensionally clustered data.

REFERENCES:
patent: 5361357 (1994-11-01), Kionka
patent: 5485615 (1996-01-01), Wennmyr
patent: 5574898 (1996-11-01), Leblang et al.
patent: 5854932 (1998-12-01), Mariani et al.
patent: 6195659 (2001-02-01), Hyatt
patent: 6546395 (2003-04-01), DeKimpe et al.
patent: 6678716 (2004-01-01), Pronsati, Jr. et al.
patent: 6789251 (2004-09-01), Johnson
patent: 6804682 (2004-10-01), Kemper et al.
patent: 6938240 (2005-08-01), Charisius et al.
patent: 6966061 (2005-11-01), Vance et al.
patent: 7055130 (2006-05-01), Charisius et al.
patent: 7080081 (2006-07-01), Agarwal et al.
patent: 7152224 (2006-12-01), Kaler et al.
patent: 7236974 (2007-06-01), Bhattacharjee et al.
patent: 7272818 (2007-09-01), Ishimitsu et al.
patent: 7328206 (2008-02-01), Petculescu et al.
patent: 7461049 (2008-12-01), Thompson et al.
patent: 7707566 (2010-04-01), Grover et al.
patent: 2002/0087561 (2002-07-01), Ching Chen et al.
patent: 2003/0195898 (2003-10-01), Agarwal et al.
patent: 2004/0031015 (2004-02-01), Ben-Romdhane et al.
patent: 2004/0060036 (2004-03-01), Natori et al.
patent: 2004/0205066 (2004-10-01), Bhattacharjee et al.
patent: 2004/0220972 (2004-11-01), Bhattacharjee et al.
patent: 2005/0005261 (2005-01-01), Severin
patent: 2006/0020619 (2006-01-01), Netz et al.
patent: 2006/0190503 (2006-08-01), Naicken et al.
patent: 2006/0206496 (2006-09-01), Aureglia et al.
patent: 2004092978 (2004-10-01), None
Padmanabhan et al., “Multi-Dimensional Clustering: A New Data Layout Scheme in DB2”; ACM, Sigmod 2003, Jun. 2003 San Diego, CA, pp. 637-641.
Randell et al., “Visual Studio 2005: Bridge the Gap Between Development and Operations with WhiteHorse”, msdn magazine, pp. 1-9, retrieved Apr. 19, 2006 http://msdn.microsoft.com/msdnmag/issues/04/07Whitehorse.
Williams, “An Overview of Microsoft's Whitehorse”, Mar. 23, 2004, retrieved Apr. 19, 2006, pp. 1-4 http://www.developer.com
et/cplus/print.php/3329641.
“Rational Application Developer for WebSphere Software—Comprehensive Eclipse-Based Rapid Application Development for Software Developers”, IBM, pp. 1-2, retrieved Apr. 19, 2006 http://www.ibm.com/software/awktools/developer/application.
Eclipse website, retrieved Apr. 19, 2006, p. 1 http://www.eclipse.com.
Beck, “D44 Table Partitioning Fundamentals”, IBM Corporation 2005, DB2 Information Management Technical Conference, Orlando Florida, Sep. 2005, pp. 1-43.
USPTO office action for U.S. Appl. No. 11/453,492, dated Jun. 15, 2010.
Chen et al., “Distributed Dynamic Scheduling of Composite Tasks on Grid Computing Systems”, 2002 IEEE, pp. 88-97.
Gensel et al., “Integrating Constraints, Composite Objects and Tasks in a Knowledge Representation System”, 1993, IEEE, pp. 127-130.
USPTO Notice of allowance for U.S. Appl. No. 11/450,618 dated Oct. 27, 2009.
USPTO Notice of allowance for U.S. Appl. No. 11/453,515, dated Sep. 1, 2010.

Affiliated with

Also associated with

Rating

Method for fast deletion of physically clustered data does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method for fast deletion of physically clustered data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for fast deletion of physically clustered data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2628305