| Authors |
|
| Publication date |
2008
|
| Book title |
ICDE 2008: proceedings of the 2008 IEEE 24th International Conference on Data Engineering: April 7-12, 2008, Cancun, Mexico
|
| ISBN |
|
| Event |
2008 IEEE 24th International Conference on Data Engineering
|
| Pages (from-to) |
1412-1414
|
| Publisher |
Piscataway, NJ: IEEE
|
| Organisations |
-
Faculty of Science (FNWI) - Informatics Institute (IVI)
|
| Abstract |
In this paper we explore database segmentation in the context of a column-store DBMS targeted at a scientific database. We present a novel hardware- and scheme-oblivious segmentation algorithm, which learns and adapts to the workload immediately. The approach taken is to capitalize on (intermediate) query results, such that future queries benefit from a more appropriate data layout. The algorithm is implemented as an extension of a complete DBMS and evaluated against a real-life workload. It demonstrates significant performance gains without DBA assistance.
|
| Document type |
Conference contribution
|
| Language |
English
|
| Published at |
https://doi.org/10.1109/ICDE.2008.4497573
|
|
Downloads
|
|
|
Permalink to this page
|
