DocumentCode
3316792
Title
Data compression and database performance
Author
Graefe, Goetz ; Shapiro, Leonard D.
Author_Institution
Colorado Univ., Boulder, CO, USA
fYear
1991
fDate
3-5 Apr 1991
Firstpage
22
Lastpage
27
Abstract
Data compression is widely used in data management to save storage space and network bandwidth. The authors outline the performance improvements that can be achieved by exploiting data compression in query processing. The novel idea is to leave data in compressed state as long as possible, and to only uncompress data when absolutely necessary. They show that many query processing algorithms can manipulate compressed data just as well as decompressed data, and that processing compressed data can speed query processing by a factor much larger than the compression factor
Keywords
data compression; database management systems; performance evaluation; compressed data; data compression; data management; database performance; decompressed data; network bandwidth; query processing algorithms; storage space; Bandwidth; Bit rate; Data compression; Database systems; Encoding; Frequency; Performance analysis; Query processing; Relational databases; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Computing, 1991., [Proceedings of the 1991] Symposium on
Conference_Location
Kansas City, MO
Print_ISBN
0-8186-2136-2
Type
conf
DOI
10.1109/SOAC.1991.143840
Filename
143840
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