Name
Abstract | ||
|---|---|---|
Compression is one of the most important techniques in column-oriented database systems development. For fixed-length string typed columns, both heavyweight and lightweight compression schemes have limitations. In this paper, we propose a compression scheme, called FSC (Fixed-length String Compression), to achieve good compression ratio and support direct queries on compressed data without decompression in advance. The main idea of FSC is to vertically partition a fixed-length string typed column into sub-columns, which are compressed by different lightweight compression methods. Moreover, we present a search method, which are called FSC-search, to search on compressed data directly. Intensive experiments show that FSC not only achieves good compression ratio, but also improve query performance by supporting direct searching on compressed data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICNC.2013.6818155 | 2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) |
Keywords | Field | DocType |
column-oriented database, fix-length string, query, compression, decompression | String searching algorithm,Compression (physics),Computer science,Compression ratio,Partition (number theory),Data compression,Database,Image compression,Lossless compression | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 | ||