Data compression of large scale data stored in sparse tables

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

Reexamination Certificate

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C707S793000

Reexamination Certificate

active

07548928

ABSTRACT:
A method of compressing data in a table data structure begins by accessing a data set within the table data structure, the data set having associated therewith a range of rows of the table data structure. Data items in the data set are represented by key-value pairs. The method includes applying a first compression to the values of the key-value pairs in the data set to produce a first compressed output; applying a second compression, distinct from the first compression, to the keys of the key-value pairs in the data set to produce a second compressed output; and applying a third compression to the first compressed output and second compressed output to produce a first compressed output block, wherein the third compression is distinct from the first compression and second compression.

REFERENCES:
patent: 5386559 (1995-01-01), Eisenberg et al.
patent: 5414834 (1995-05-01), Alexander et al.
patent: 5794228 (1998-08-01), French et al.
patent: 5918225 (1999-06-01), White et al.
patent: 5946699 (1999-08-01), Sawashima et al.
patent: 5953503 (1999-09-01), Mitzenmacher et al.
patent: 6006232 (1999-12-01), Lyons
patent: 6169990 (2001-01-01), McGregor et al.
patent: 6233580 (2001-05-01), Kaplan et al.
patent: 6289358 (2001-09-01), Mattis et al.
patent: 6298342 (2001-10-01), Graefe et al.
patent: 6725225 (2004-04-01), Kori
patent: 6778996 (2004-08-01), Roccaforte
patent: 6879984 (2005-04-01), Duddleson et al.
patent: 6909384 (2005-06-01), Baldwin et al.
patent: 6937171 (2005-08-01), Baldwin et al.
patent: 7013304 (2006-03-01), Schuetze et al.
patent: 7024414 (2006-04-01), Sah et al.
patent: 7026964 (2006-04-01), Baldwin et al.
patent: 7028039 (2006-04-01), Burrows et al.
patent: 7103588 (2006-09-01), Beck et al.
patent: 7103608 (2006-09-01), Ozbutun et al.
patent: 7181457 (2007-02-01), Reinauer et al.
patent: 2002/0178171 (2002-11-01), Walker et al.
patent: 2003/0200235 (2003-10-01), Choy et al.
patent: 2004/0148301 (2004-07-01), McKay et al.
patent: 2005/0149584 (2005-07-01), Bourbonnais et al.
patent: 2005/0219076 (2005-10-01), Harris
patent: 2006/0123035 (2006-06-01), Ivie
Gennady Antoshenkoy, Dictionary-based order-preserving string compression, Feb. 1997, Springer-Verlag New York, Inc., vol. 6, Issue 1, pp. 26-39.
Zhiyuan Chen et al., Query optimization in compressed database systems, Year 2001, ACM, pp. 271-282.
Barroso, L., et al., “Memory System Characterization of Commercial Workloads,” Proceedings of the 25th International Symposium on Computer Architecture, Barcelona, Jun. 1998, pp. 3-14.
Elmasri, R., et al., Portions of Chapters 24 and 25 of Fundamentals of Database Systems, Addison-Wesley, Reading, MA, 2004, pp. 767-819.
Gamal-Eldin, M.S., et al., “Integrating Relational Databases with Support for Updates,” Proceedings of 1988 Int'l Symposium on Databases in Parallel and Distributed Systems, Dec. 5, 1988, pp. 202-209.
Kouramajian, V., et al., “Mapping of 2-D Temporal Extended ER models in Temporal FNF and NFNF Relational Models,” Int'l Conf on the Entity-Relationship Approach, Amsterdam, Netherlands, Oct. 23, 1991, pp. 671-689.
Bentley, J., et al., “Data Compression Using Long Common Strings,”Proceedings of the IEEE Data Compression Conf., Mar. 1999, pp. 287-295.

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