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Hash-based Collection-Join Algorithms for Parallel Database Systems

机译:基于哈希的Collection-Join算法,用于并行数据库系统

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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:Collection Join查询是基于Collection-Type属性的加入查询(即,集,列表,数组,包)。我们以前的工作标识了三类集合加入查询。常规并行连接算法是基于原子属性的加入查询设计的,并且对于收集连接查询处理是不充分的。在本文中,我们提出了一种基于每个集合连接查询类型的散列技术的并联连接算法。所提出的并行集合连接算法和传统的并行散列连接之间的主要区别在于,在所提出的算法中,特别是用于集合 - 交叉和子收集连接的算法,数据分区基于非脱记分区。另一个不同之所归的是,还引入了集合的新散列技术。

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