Aggregating the scores

In this example, the tAggregateRow component, labelled aggregate, will perform sum, avg, max, and min calculations to get the total, average, highest, and lowest scores of each subject.

	setSettings {
		GROUPBYS {
			OUTPUT_COLUMN : "subject",
			INPUT_COLUMN : "subject"
		},
		OPERATIONS {
			OUTPUT_COLUMN : "sum",
			FUNCTION : "sum",
			INPUT_COLUMN : "score",
			OUTPUT_COLUMN : "average",
			FUNCTION : "avg",
			INPUT_COLUMN : "score",
			OUTPUT_COLUMN : "max",
			FUNCTION : "max",
			INPUT_COLUMN : "score",
			OUTPUT_COLUMN : "min",
			FUNCTION : "min",
			INPUT_COLUMN : "score"
		},
		LABEL : "aggregate"
	}

In this example, the tAggregateRow component will output five columns:

• subject, type String
• sum, for the total score of each subject, type Double
• average, for the average score of each subject, type Double
• max, for the highest score of each subject, type Double
• min, for the lowest score of each subject, type Double

	addSchema {
		NAME: "tAggregateRow_1",
		CONNECTOR: "FLOW"
		addColumn {
			NAME: "subject",
			TYPE: "id_String"
		}
		addColumn {
			NAME: "sum",
			TYPE: "id_Double",
			PRECISION: 2
		}
		addColumn {
			NAME: "average",
			TYPE: "id_Double",
			PRECISION: 2
		}
		addColumn {
			NAME: "max",
			TYPE: "id_Double",
			PRECISION: 2
		}
		addColumn {
			NAME: "min",
			TYPE: "id_Double",
			PRECISION: 2
		}
	}