Include(SourceLevel: IDimLevel): Boolean;
SourceLevel - source level, data from which should be used during aggregation.
The Include property determines whether data of the level passed by the SourceLevel parameter is used during aggregation.
If the property is set to True, data of the SourceLevel level is used during aggregation, otherwise, it is not used. The property is relevant if the UseDefaultLevelAggregation and IncludeChildren properties are set to False.
Executing the example requires that the repository contains a cube with the Cube_1 identifier. The cube includes the D_TO dimension that contains more than two levels.
Sub Main;
Var
MB: IMetabase;
MObj: IMetabaseObject;
StandCub: IStandardCube;
Man: IMatrixAggregatorManager;
Dim: IStandardCubeDimension;
Lvl: IDimLevels;
BasicAggr: IBasicMatrixAggregator;
LevAggr: IBasicMatrixLevelAggregator;
Dest: IStandardCubeDestination;
Begin
MB := MetabaseClass.Active;
MObj := MB.ItemById("CUBE_1").Edit;
StandCub := MObj As IStandardCube;
//Create a new aggregator
Man := New MatrixAggregatorManager.Create As IMatrixAggregatorManager;
//Basic aggregation mechanism
BasicAggr := Man.CreateAggregator("BasicMatrixAggregator") As IBasicMatrixAggregator;
//For dimension D_TO
Dim := StandCub.Dimensions.FindById("D_TO");
Lvl := Dim.Dimension.Levels;
BasicAggr.Dimension := Dim.Dimension;
//For default level
LevAggr := BasicAggr.DefaultLevelAggregation;
LevAggr.Operation := BasicAggregatorOperation.ArithmeticalMean;
LevAggr.PreserveExistingData := True;
LevAggr.PreserveMethod := ExistingDataPreserveMethod.OnNull;
//For the second level
//Destination level
LevAggr := BasicAggr.LevelAggregation(Lvl.Item(Lvl.Count - 2));
LevAggr.UseDefaultLevelAggregation := False;
//Method - Actual mean
LevAggr.Operation := BasicAggregatorOperation.ActualMean;
//Source level
LevAggr.Include(Lvl.Item(Lvl.Count - 1)) := True;
//Setup of aggregation by the first element of facts dimension
Dest := StandCub.Destinations.Item(0);
Dim.Aggregator(1, Dest) := BasicAggr;
MObj.Save;
End Sub Main;
After executing the example the aggregation for the D_TO dimension is set up in the cube. Default levels are aggregated using arithmetic mean. Non-aggregated data is saved if the result is not an empty value. Own settings are set for the level next to last. Data is aggregated from the last level using the actual mean method.
See also: