Vantage invokes an aggregate UDF once for each item in an aggregation group, passing the detail values of a group through the input arguments. To accumulate summary information, an aggregate function must retain context each time it is called.
You do not need to create a group or code an aggregate UDF to deal with groups—Teradata takes care of that. You only need to write the basic algorithm of combining the data passed to the UDF to produce the desired result.
The following table describes the flow of an aggregate function for a group. To see the flow of a window aggregate function, see Window Aggregate Function Body.
| Phase | Value of aggregation_phase Argument | Description |
|---|---|---|
| 1 | AGR_INIT | This is the first time Vantage invokes the aggregate UDF for an aggregation group. The function must:
|
| 2 | AGR_DETAIL | In this phase, Vantage calls the function once for each row to be aggregated for each group. The function must combine the function argument input data with the intermediate storage defined for the group. |
| 3 | AGR_COMBINE | This phase combines results from different AMPs for a specific group. The function must combine the data for the two intermediate storage areas passed in. |
| 4 | AGR_FINAL | No more input is expected for the group. The function must produce the final result for the group. |
| 5 | AGR_NODATA | This phase is only presented when there is absolutely no data to aggregate. |