2012 | OriginalPaper | Buchkapitel
A PDGF Implementation for TPC-H
verfasst von : Meikel Poess, Tilmann Rabl, Michael Frank, Manuel Danisch
Erschienen in: Topics in Performance Evaluation, Measurement and Characterization
Verlag: Springer Berlin Heidelberg
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With 182 benchmark results from 20 hardware vendors, TPC-H has established itself as the industry standard benchmark to measure performance of decision support systems. The release of TPC-H twelve years ago by the Transaction Processing Performance Council’s (TPC) was based on an earlier decision support benchmark, called TPC-D, which was released 1994. TPC-H inherited TPC-D’s data and query generators, DBgen and Qgen. As systems evolved over time, maintenance of these tools has become a major burden for the TPC. DBgen and Qgen need to be ported on new hardware architectures and adapted as the system grew in size to multiple terabytes. In this paper we demonstrate how Parallel Data Generation Framework (PDGF), a generic data generator, developed at the University of Passau for massively parallel data generation, can be adapted for TPC-H.