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A PDGF Implementation for TPC-H

机译:TPC-H的PDGF实施

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摘要

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.
机译:TPC-H凭借来自20个硬件供应商的182个基准测试结果,已确立自己为衡量决策支持系统性能的行业标准基准。 TPC-H在12年前由事务处理性能委员会(TPC)发布,该版本基于一个较早的决策支持基准TPC-D,该基准于1994年发布。TPC-H继承了TPC-D的数据和查询生成器DBgen和Qgen。随着系统的不断发展,这些工具的维护已成为TPC的主要负担。需要将DBgen和Qgen移植到新的硬件体系结构上,并随着系统大小增加到数TB进行调整。在本文中,我们演示了并行数据生成框架(PDGF),这是帕绍大学为大规模并行数据生成而开发的通用数据生成器,如何适用于TPC-H。

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