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Hash-Based Structural Join Algorithms

机译:基于哈希的结构连接算法

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摘要

Algorithms for processing Structural Joins embody essential building blocks for XML query evaluation. Their design is a difficult task, because they have to satisfy many requirements, e. g., guarantee linear worst-case runtime; generate sorted, duplicate-free output; adapt to fiercely varying input sizes and element distributions; enable pipelining; and (probably) more. Therefore, it is not possible to design the structural join algorithm. Rather, the provision of different specialized operators, from which the query optimizer can choose, is beneficial for query efficiency. We propose new hash-based structural joins that can process unordered input sequences possibly containing duplicates. We also show that these algorithms can substantially reduce the number of sort operations on intermediate results for (complex) tree structured queries (twigs).
机译:处理结构联接的算法体现了XML查询评估的基本构造块。他们的设计是一项艰巨的任务,因为他们必须满足许多要求,例如: g。保证线性最坏情况下的运行时间;生成分类的,无重复的输出;适应剧烈变化的输入大小和元素分布;启用流水线; (可能)还有更多。因此,不可能设计结构连接算法。而是提供查询优化器可以选择的不同专业运算符,对于提高查询效率是有益的。我们提出了新的基于散列的结构连接,可以处理可能包含重复项的无序输入序列。我们还表明,这些算法可以大大减少针对(复杂)树结构查询(细枝)的中间结果进行排序操作的次数。

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