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Aggregate-join query processing in parallel database systems

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4 Author(s)
Taniar, D. ; Dept. of Comput. Sci., R. Melbourne Inst. of Technol., Vic., Australia ; Jiang, Y. ; Liu, K.H. ; Leung, C.H.C.

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.

Published in:

High Performance Computing in the Asia-Pacific Region, 2000. Proceedings. The Fourth International Conference/Exhibition on  (Volume:2 )

Date of Conference:

14-17 May 2000