Oracle® OLAP DML Reference 10g Release 2 (10.2) Part Number B14346-01 |
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The AGGREGATION function is available only within a model. Its purpose is to allow you to create a model that represents a custom aggregate. Such an aggmap can be used for dynamic aggregation with the AGGREGATE function.
Note: Because the AGGREGATION function is intended only for dynamic aggregation, a model that contains such a function cannot be used with the AGGREGATE command. |
Syntax
AGGREGATION(dimval-list)
Arguments
A list of one or more dimension values to include in the custom aggregation. The specified values must belong to the same dimension to which the target dimension value belongs. You must specify each dimension value as a text literal. That is, they cannot be represented by a text expression such as a variable.
Examples
Example 7-13 Using the AGGREGATION Function to Create a Custom Aggregate
The following lines of code from a program perform these steps:
Add the new dimension value my_time
to the time
dimension.
MAINTAIN time ADD 'My_Time'
Define the model mytime_custagg
and set the specification of the model using the AGGREGATION function.
DEFINE mytime_custagg MODEL MODEL JOINLINES('DIMENSION time' 'My_Time = AGGREGATION(\'23\' \'24\')')
(Note that backslash escape characters are required to include quotation marks within a quoted string.)
Define the sales_aggmap
aggmap.
DEFINE sales_aggmap AGGMAP <time cpc <customer product channel> > AGGMAP RELATION prntrel.time RELATION prntrel.chan RELATION prntrel.prod RELATION prntrel.cust END
Add the model mytime_custagg
to sales_aggmap
.
AGGMAP ADD mytime_custagg TO sales_aggmap
Limit the dimensions to the values of interest and run a report.
" Run a report LIMIT time TO 'My_Time' '23' '24' LIMIT channel TO '5' LIMIT product TO '70' LIMIT customer TO '114' REPORT DOWN time AGGREGATE(sales USING sales_aggmap)
The report generates the following output.
CHANNEL: 5 PRODUCT: 70 --AGGREGATE(SALES--- USING SALES_AGGMAP)- ------CUSTOMER------ TIME 114 -------------- -------------------- my_time 682,904.34 23 84,982.92 24 597,921.42