Oracle® OLAP DML Reference 11g Release 2 (11.2) Part Number E17122-07 |
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The KEY function returns the value of the specified base dimension for a value of a conjoint dimension or a composite.
The return value depends on the data type of the specified base dimension.
KEY(dimension-exp, base-dimension-exp)
An expression that specifies a value of a conjoint dimension or a composite. When you specify the conjoint dimension itself, KEY uses the first value in status. When you specify the composite itself, KEY uses the first value in status for every base dimension in the composite.
An expression that specifies the name of a base dimension of the previously specified conjoint dimension or composite for which you want to know the dimension value.
Example 7-139 Reporting with a Conjoint
Suppose you want to produce a report of data dimensioned by a conjoint dimension. You can label each row with the base values of each conjoint dimension value with the KEY function. Each base value occupies its own column and you have more control over the layout.
The following program excerpt loops over the conjoint dimension proddist
, whose values are a combination of product
and district
. Assume also that there is a variable named dsales
which is dimensioned by proddist
.
DEFINE proddist DIMENSION <product district> LD Conjoint dimension made up of combinations of product and district values DEFINE dsales VARIABLE DECIMAL <month proddist> LD Sparse sales data made dense by dimensioning by conjoint dimension proddist
The program excerpt shows dsales
for three months. The base values of the conjoint dimension value each occupy their own column. For contrast, the second loop uses the conjoint dimension directly, without the KEY function. The conjoint dimension values are displayed in one column, with angle brackets.
LIMIT month TO FIRST 3 FOR proddist ROW KEY(proddist district) KEY( proddist product) ACROSS month: dsales BLANK 2 FOR proddist ROW W 25 proddist ACROSS month: dsales
The program produces the following report.
Boston Tents 32,153.52 32,536.30 43,062.75 Denver Canoes 45,467.80 51,737.01 58,437.11 Atlanta Sportswear 114,446.26 123,164.92 138,601.64 <Tents, Boston> 32,153.52 32,536.30 43,062.75 <Canoes, Denver> 45,467.80 51,737.01 58,437.11 <Sportswear, Atlanta> 114,446.26 123,164.92 138,601.64