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Performance Evaluation of Parallel GroupBy-Before-Join Query Processing in High Performance Database Systems

机译:在高性能数据库系统中并行GroupBy-Jours-Jours-Jourse查询处理的性能评估

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Strategic decision making process uses a lot of GroupBy clauses and join operations queries. As the source of information in this type of application to these queries is commonly very huge, then parallelization of GroupBy-Join queries is unavoidable in order to speed up query processing time. In this paper, we investigate three parallelization techniques for GroupBy-Join queries, particularly the queries where the group-by clause can be performed before the join operation. We subsequently call this query "GroupBy-Before-Join" queries. Performance evaluation of the three parallel processing methods is also carried out and presented here.
机译:战略决策过程使用大量的GroupBy子句并加入操作查询。由于此类查询中此类应用程序中的信息源通常非常大,因此GroupBy-Join查询的并行化是不可避免的,以加速查询处理时间。在本文中,我们调查了GroupBy-Join查询的三种并行化技术,特别是在加入操作之前可以执行Group-By子句的查询。我们随后调用此查询“groupby-preoup-jourts”查询。这里还进行了三种平行处理方法的性能评估并在此进行。

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