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- W2109229478 abstract "Data-cube queries containing aggregate functions often combine multiple tables through join operations. We can extend this to multi-join expansion-aggregate data-cube queries by using more than one aggregate function in a SELECT statement in conjunction with relational operators. In parallel processing for such queries, it must be decided which attribute to use as a partitioning attribute, in particular the join attribute or cube-by. Based on the partitioning attribute, we introduce three parallel multi-join expansion-aggregate data-cube query methods, namely the multi-join partition method (MPM), the expansion partition method (EPM) and the early expansion partition with replication method (EPRM). All three methods use the join attribute and cube-by as the partitioning attribute. A performance evaluation of the three parallel processing methods is also carried out and presented." @default.
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- W2109229478 date "2003-06-25" @default.
- W2109229478 modified "2023-09-23" @default.
- W2109229478 title "Parallel processing of multi-join expansion-aggregate data cube query in high performance database systems" @default.
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- W2109229478 doi "https://doi.org/10.1109/ispan.2002.1004260" @default.
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