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XSelMark: A Micro-benchmark for Selectivity Estimation Approaches of XML Queries

机译:XSelMark:XML​​查询选择性估计方法的微基准

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摘要

Estimating the sizes of query results and intermediate results is a crucial part of any effective query optimization process. Due to several reasons, the selectivity estimation problem in the XML domain is more complicated than that in the relational domain. Several research efforts have proposed selectivity estimation approaches in the XML domain. Lacking of a suitable benchmark was one of the main reasons which prevented a real assessment and comparison between the approaches to be conducted. In this paper we propose a selectivity estimation benchmark for XML queries, XSelMark. It consists of a set of 25 queries organized into seven groups and covers the main aspects of selectivity estimation of XML queries. These queries have been designed with respect to an XML document instance of a popular benchmark for XML data management, XMark. In addition, we suggest some criteria of assessing the capability and quality of XML queries selectivity estimation approaches. Finally, we use the proposed benchmark to assess the capabilities of the-state-of-the-art of the selectivity estimation approaches.
机译:估计查询结果和中间结果的大小是任何有效查询优化过程的关键部分。由于多种原因,XML域中的选择性估计问题比关系域中的选择性估计问题更为复杂。一些研究工作已经提出了XML领域中的选择性估计方法。缺乏合适的基准是导致无法进行实际评估和比较所采用的方法的主要原因之一。在本文中,我们提出了XML查询的选择性估计基准XSelMark。它由25个查询组成,这些查询分为7组,涵盖了XML查询选择性估计的主要方面。这些查询是针对XML数据管理的流行基准XMark的XML文档实例而设计的。另外,我们建议了一些评估XML查询选择性估计方法的能力和质量的标准。最后,我们使用提出的基准来评估选择性估计方法的最新能力。

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