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Aggregate-join query processing in parallel database systems

Taniar, Jiang, Liu and 1 other

1 Jan 2000

NobleIDark:/48914/w1/20260515/46799C51DOI10.1109/hpc.2000.843554

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Abstract

Queries containing aggregate functions often combine multiple tables through join operations. We call these queries "aggregate-join" queries. In parallel processing of such queries, it must be decided which attribute to be used as a partitioning attribute, particularly join attribute or group-by attribute. Based on the partitioning attribute, we discuss three parallel aggregate-join query processing methods, namely: Join Partition Method (JPM), Aggregate Partition Method (APM), and Hybrid Partition Method (HPM). The JPM and APM models use the join attribute, and the group-by attribute, respectively, as the partitioning attribute. The HPM model combines the other two methods using a logically hybrid architecture.

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