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TwigMRR: Distributed XML Twig Query Processing

机译:TwigMRR:分布式XML Twig查询处理

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摘要

Twig query is considered the core query pattern in most XML query language. With the XML document size becoming larger, single site cannot deal with such volume data in storage capacity and compute ability. Partitioning the large data and distributed parallel processing query is an efficient and effective way. This paper proposes Twig MRR algorithm for evaluating XML twig query over large XML data that is encoded by Dewey, partitioned horizontally and distributed storage in a cluster. Twig MRR is based on MapReduce and extended a new model Map-Reduce-Reduce to get the final results for twig query. The experimental results show that our approach is scalable and efficient on this problem.
机译:Twig查询被视为大多数XML查询语言中的核心查询模式。随着XML文档的大小变大,单个站点无法在存储容量和计算能力上处理此类海量数据。对大数据进行分区和分布式并行处理查询是一种有效的方法。本文提出了一种Twig MRR算法,用于评估由Dewey编码,水平分区和分布式存储在集群中的大型XML数据上的XML树枝查询。 Twig MRR基于MapReduce,并扩展了新模型Map-Reduce-Reduce以获取最终查询结果。实验结果表明,我们的方法在此问题上可扩展且有效。

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