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Aggregating the scores ON THIS PAGE
Use the procedure below to add and configure a tAggregateRow component
to aggregate the scores.
Procedure
Next to the tUnite component, add a new component,
tAggregateRow .
addComponent {
setComponentDefinition {
TYPE: "tAggregateRow",
NAME: "tAggregateRow_1",
POSITION: 512, 192
}
}
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Next to the setComponentDefinition {} of
tAggregateRow , define the component properties using the
setSettings {} function.
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"
}
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Next to the setSettings {} , enter the
addSchema {} function to define the output structure
of the component.
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
}
}
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