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Hash-based Collection-Join Algorithms for Parallel Database Systems

机译:并行数据库系统的基于哈希的收集-加入算法

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Collection join queries are join queries based on collection-type attributes (ie, sets, lists, arrays, bags). Our previous work identifies three categories of collection join queries. Conventional parallel join algorithms were designed for join queries based on atomic attributes, and are inadequate for collection join query processing. In this paper, we propose, a parallel join algorithm based on the hashing technique for each of the collection join query types. The main difference between the proposed parallel collection join algorithms and the conventional parallel hash join is that in the proposed algorithms, particularly the ones for collection-intersect and sub-collection join, data partitioning is based on non-disjoint partitioning. Another difference is that a new hashing technique for collection is also introduced.
机译:集合联接查询是基于集合类型属性(即集合,列表,数组,包)的联接查询。我们之前的工作确定了集合联接查询的三个类别。传统的并行联接算法是为基于原子属性的联接查询而设计的,不足以进行集合联接查询处理。在本文中,我们针对每种集合联接查询类型,提出了一种基于哈希技术的并行联接算法。所提出的并行集合联接算法与常规的并行哈希联接之间的主要区别在于,在所提出的算法中,尤其是用于集合相交和子集合联接的算法,数据分区基于非相交分区。另一个区别是,还引入了一种新的哈希收集技术。

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