Abstract
Typical OLAP queries take a long time to be processed so speeding up the execution of each single query is imperative to decision making. ParGRES is an open-source database cluster middleware for high performance OLAP query processing. By exploiting intra-query parallelism on PC clusters, ParGRES has shown excellent performance using the TPC-H benchmark. In this paper, we evaluate ParGRES on a real-world OLAP database. Through adaptive virtual partitioning of the database, ParGRES yields linear and very often super-linear speedup for frequent queries. This shows that ParGRES is a very cost-effective solution for OLAP query processing in real settings. © 2008 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Paes, M., Lima, A. A. B., Valduriez, P., & Mattoso, M. (2008). High-performance query processing of a real-world OLAP database with ParGRES. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5336 LNCS, pp. 188–200). https://doi.org/10.1007/978-3-540-92859-1_18
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