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Materialization of fragmented views in multidimensional databases

机译:在多维数据库中实现碎片视图

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摘要

The most effective technique to enhance performances of multidimensional databases consists in materializing redundant aggregates called views. In the classical approach to materialization, each view includes all and only the measures of the cube it aggregates. In this paper we investigate the benefits of materializing views in vertical fragments, aimed at minimizing the workload response time. We formalize the fragmentation problem as a 0-1 integer linear programming problem, which is then solved by means of a standard integer programming solver to determine the optimal fragmentation for a given workload. Finally, we demonstrate the usefulness of fragmentation by presenting a large set of experimental results based on the TPC-H benchmark.
机译:增强多维数据库性能的最有效技术是实现称为视图的冗余聚合。在经典的实现方法中,每个视图仅包含其聚合的多维数据集的所有度量。在本文中,我们研究了在垂直片段中实现视图的好处,旨在最大程度地减少工作负载响应时间。我们将碎片问题形式化为0-1整数线性规划问题,然后通过标准整数规划求解器对其进行求解,以确定给定工作负载的最佳碎片。最后,我们通过提出大量基于TPC-H基准的实验结果来证明片段化的有用性。

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