BlossomTree: evaluating XPaths in FLWOR expressions

Ning Zhang, Shishir Agrawal, M. Tamer Özsu
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引用次数: 5

Abstract

Efficient evaluation of path expressions has been studied extensively. However, evaluating more complex FLWOR expressions that contain multiple path expressions has not been well studied. In this paper, we propose a novel pattern matching approach, called BlossomTree, to evaluate a FLWOR expression that contains correlated path expressions. BlossomTree is a formalism to capture the semantics of the path expressions and their correlations. We propose a general algebraic framework (abstract data types and logical operators) to evaluate BlossomTree pattern matching that facilitates efficient evaluation and experimentation. We design efficient data structures and algorithms to implement the abstract data types and logical operators. Our experimental studies demonstrate that the BlossomTree approach can generate highly efficient query plans in different environments.
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blossom - tree:在FLWOR表达式中计算xpath
路径表达式的高效求值已经得到了广泛的研究。然而,计算包含多个路径表达式的更复杂的FLWOR表达式尚未得到很好的研究。在本文中,我们提出了一种新的模式匹配方法,称为blossom - tree,用于评估包含相关路径表达式的FLWOR表达式。blossom - tree是一种捕捉路径表达式及其相关性语义的形式化方法。我们提出了一个通用的代数框架(抽象数据类型和逻辑运算符)来评估“开花树”模式匹配,以促进有效的评估和实验。我们设计了高效的数据结构和算法来实现抽象数据类型和逻辑运算符。我们的实验研究表明,该方法可以在不同的环境下生成高效的查询计划。
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