Benchmark for OLAP on NoSQL technologies comparing NoSQL multidimensional data warehousing solutions

M. Chevalier, M. Malki, A. Kopliku, O. Teste, R. Tournier
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引用次数: 33

Abstract

The plethora of data warehouse solutions has created a need comparing these solutions using experimental benchmarks. Existing benchmarks rely mostly on the relational data model and do not take into account other models. In this paper, we propose an extension to a popular benchmark (the Star Schema Benchmark or SSB) that considers non-relational NoSQL models. To avoid data post-processing required for using this data with NoSQL systems, the data is generated in different formats. To exploit at best horizontal scaling, data can be produced in a distributed file system, hence removing disk or partition sizes as limit for the generated dataset. Experimental work proves improved performance of our new benchmark.
基于NoSQL技术的OLAP基准测试,比较NoSQL多维数据仓库解决方案
过多的数据仓库解决方案产生了使用实验性基准测试来比较这些解决方案的需求。现有的基准测试主要依赖于关系数据模型,而不考虑其他模型。在本文中,我们提出了一个流行的基准测试(星型模式基准测试或SSB)的扩展,它考虑非关系NoSQL模型。为了避免在NoSQL系统中使用此数据所需的数据后处理,数据以不同的格式生成。为了最好地利用水平扩展,数据可以在分布式文件系统中生成,因此删除磁盘或分区大小作为生成数据集的限制。实验证明了新基准的性能有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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