Title :
Dictionary symbol encoding: A column-store case study
Author :
Apte, Tejaswini ; Ingle, Maya ; Goyal, A.K.
Author_Institution :
Symbiosis Inst. of Comput. Studies & Res., Pune, India
Abstract :
The performance of disk I/O for large data transfer is driven by compression ratio. In this paper, we studied and explored the compression of large column-store databases and proposed the organization of the compressed data on the concept of dictionary encoding logical compression scheme in matrix form. Our experiment shows that with proposed compression algorithm, TPC-H query performance may improve up to 21% approximately and space consumption may reduce by 2%.
Keywords :
data compression; encoding; storage management; very large databases; TPC-H query performance; column-store case study; data compression ratio; dictionary encoding logical compression scheme; dictionary symbol encoding; disk I/O performance; large column-store databases; large data transfer; matrix form; space consumption; Compression algorithms; Data compression; Dictionaries; Encoding; Indexes;
Conference_Titel :
Computer Applications and Information Systems (WCCAIS), 2014 World Congress on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4799-3350-1
DOI :
10.1109/WCCAIS.2014.6916561
