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A Benchmark for Online Index Selection

机译:在线索引选择基准

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摘要

Online approaches to physical design tuning have received considerable attention in the recent literature, with a focus on the problem of online index selection. However, it is difficult to draw conclusions on the relative merits of the proposed techniques, as they have been evaluated in isolation using different methodologies. In this paper, we make two concrete contributions to address this issue. First, we propose a benchmark for evaluating the performance of an online tuning algorithm in a principled fashion. Second, using the benchmark, we present a comparison of two representative online tuning algorithms that are implemented in the same database system. The results provide interesting insights on the behavior of these algorithms and validate the usefulness of the proposed benchmark.
机译:物理设计调整的在线方法在最近的文献中受到了相当多的关注,重点是在线索引选择的问题。但是,很难对所提出技术的相对优点作出结论,因为它们是使用不同方法单独评估的。在本文中,我们为解决这个问题做出了两点具体的贡献。首先,我们提出了一个基准,用于以有原则的方式评估在线调整算法的性能。其次,使用基准测试,我们对在同一数据库系统中实现的两种代表性的在线调整算法进行了比较。结果为这些算法的行为提供了有趣的见解,并验证了所提出基准的有用性。

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