Optimizing XML-to-SQL query translation for analytical databases using intelligent path derivation

ACM SE '10 Pub Date : 2010-04-15 DOI:10.1145/1900008.1900050
Mustafa Atay, P. Fisher
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引用次数: 2

Abstract

We introduce the idea of an XML-to-SQL translation scheme applicable to relatively stable databases in this paper. This approach utilizes a subordinate data structure which we call a Path Prefix Tree (PPT). The PPT is updated for each instance of the XML document, and then used to build efficient SQL queries that are nearly optimal in terms of efficiency. The mapping of XML path expressions into SQL queries is shown to operate in O(n) time. Moreover, our proposed XML-to-SQL translation scheme efficiently maps the recursive path queries to SQL queries in the presence of recursive schemas using the PPT.
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使用智能路径派生优化分析数据库的XML-to-SQL查询转换
本文介绍了一种适用于相对稳定的数据库的XML-to-SQL转换方案。这种方法利用了一种从属数据结构,我们称之为路径前缀树(PPT)。针对XML文档的每个实例更新PPT,然后使用它构建在效率方面近乎最佳的高效SQL查询。将XML路径表达式映射到SQL查询的操作时间为O(n)。此外,我们提出的XML-to-SQL转换方案使用PPT有效地将递归路径查询映射到存在递归模式的SQL查询。
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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