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A query processing strategy for the decomposed storage model

机译:分解存储模型的查询处理策略

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Handling parallelism in database systems involves the specification of a storage model, a placement strategy, and a query processing strategy. An important goal is to determine the appropriate combination of these three strategies in order to obtain the best performance advantages. In this paper we present a novel and promising query processing strategy for a decomposed storage model. We discuss some of the qualitative advantages of the scheme. We also compare the performance of the proposed “pivot” strategy with conventional query processing for the n-ary storage model. The comparison is performed using the Wisconsin Benchmarks.
机译:数据库系统中的并行处理涉及存储模型,放置策略和查询处理策略的规范。一个重要的目标是确定这三种策略的适当组合,以获得最佳的性能优势。在本文中,我们为分解的存储模型提出了一种新颖而有前途的查询处理策略。我们讨论了该方案的一些质量优势。我们还比较了建议的“数据透视”策略与n元存储模型的常规查询处理的性能。使用威斯康星州基准进行比较。

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