Multidimensional-array-based grouping aggregation calculating method in column storage database
A multi-dimensional array and calculation method technology, applied in the field of database management, can solve the problems of not using access efficiency, achieve good platform portability and adaptability, eliminate storage overhead, and improve efficiency
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[0028] In multidimensional OLAP, multidimensional arrays are used to store original multidimensional data sets, and its sparse data storage will cause serious storage efficiency problems. Multidimensional arrays are more suitable for direct mapping access to multidimensional data than hash tables. The grouping attribute also has the characteristics of a multidimensional data set. Since the grouping operation generates multidimensional data in the process of flowing a large number of records into a small number of groups, there are few null values in the array and the storage efficiency is high. Multiple grouping attributes constitute a natural multi-dimensional data cube, and each unit of the data cube corresponds to a specific grouping item. Through the multi-dimensional cube structure, the combination value (group item) of any grouping attribute can be directly mapped to the unique array unit of the multi-dimensional array, while the hash map in contrast cannot reflect the...
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