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Processing Strategy for Global XQuery Queries Based on XQuery Join Cost

机译:基于XQuery连接成本的全局XQuery查询处理策略

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摘要

XML is a standard for exchanging and formatting data over the Internet and XQuery is a standard query language for searching and integrating XML data. Therefore, it is a natural choice for interoperability to use XQuery over the Internet. Global XQuery queries search and integrate heterogeneous data, being distributed in the local systems.rnIn order to process efficiently global XQuery queries, their processing strategy is important because an improper processing strategy could produce an enormous number of intermediate results or execute redundant expressions. In distributed relational databases, there are some techniques for processing global SQL queries. Unfortunately, however, the structure of the data handled by the XQuery language is quite different from the one by the SQL. The XQuery language deals with semi-structural data, i.e. tree-structured data, while SQL deals with well-structured data, i.e., the table-shaped data. These structural differences make it difficult to apply the techniques for global SQL queries into for global XQuery queries. Especially this paper considers the join cost for devising a query processing strategy. Therefore, we define some problems for estimating the join cost in XQuery queries and propose ECNJ algorithm for solving these problems. Also this paper proposes the query processing strategy and evaluates the strategy by implementing a prototype system.
机译:XML是用于在Internet上交换和格式化数据的标准,而XQuery是用于搜索和集成XML数据的标准查询语言。因此,通过Internet使用XQuery是互操作性的自然选择。全局XQuery查询搜索并集成分布在本地系统中的异构数据。为了有效处理全局XQuery查询,其处理策略很重要,因为不正确的处理策略可能会产生大量中间结果或执行冗余表达式。在分布式关系数据库中,存在一些用于处理全局SQL查询的技术。但是,不幸的是,由XQuery语言处理的数据结构与由SQL处理的数据有很大不同。 XQuery语言处理半结构化数据,即树形数据,而SQL处理结构化良好的数据,即表形数据。这些结构上的差异使得难以将用于全局SQL查询的技术应用于用于全局XQuery查询的技术。特别是,本文考虑了设计查询处理策略的联接成本。因此,我们定义了一些估计XQuery查询中的联接成本的问题,并提出了解决这些问题的ECNJ算法。本文还提出了查询处理策略,并通过实现原型系统对策略进行了评估。

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