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What is cube grouping?- A transformer built set of similar cubes is known as cube grouping.
- A single level in one dimension of the model is related with each cube group.
- Cube groups are generally used in creating smaller cubes that are based on the data in the level of dimension.
- CUBE takes a specified set of grouping columns and creates subtotals for all of their possible combinations.
- CUBE generates all the subtotals that could be calculated for a data cube with the specified dimensions in a multidimensional analysis.
- If the specification of a CUBE(time, region, department), then the result set will include all the values that would be included in an equivalent ROLLUP statement plus additional combinations.
- CUBE can be helpful in generating summary tables.
- It is typically most suitable in queries that use columns from multiple dimensions rather than columns representing different levels of a single dimension.
- For instance, a commonly requested cross-tabulation might need subtotals for all the combinations of month, state, and product.
- These are three independent dimensions, and analysis of all possible subtotal combinations is commonplace.
- In contrast, a cross-tabulation showing all possible combinations of year, month, and day would have several values of limited interest, because there is a natural hierarchy in the time dimension.
- Subtotals such as profit by day of month summed across year would be unnecessary in most analysis.
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