By utilizing the aggregation and grouping features, you can establish groups within the Result Matrix and subsequently perform aggregation operations on these groups, such as SUM, COUNT, etc.
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Supported Aggregations
AVG
COUNT
MAX
MIN
SUM
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def groupByData = api.newMatrix()
// Definition of result matrix (columns, rows).
.withColumns('TextColumn1', 'TextColumn2', 'NumericColumn3', 'NumericColumn4')
.withRows(rows)
// Property `.withGroupBy` defines that the `TextColumn1` and `NumericColumn3` are used for group by (The order is important).
.withGroupBy(['TextColumn1', 'NumericColumn3'])
// Property `.withColumnAggregation` defines the values for subtotal rows that will be calculated as SUM.
// Values are based on the group by definition (`NumericColumn3`). This definition is optional.
// When not used, like e.g. for `TextColumn1`, there will be no aggregation calculated for the `TextColumn1`.
.withColumnAggregation('NumericColumn3', SUM)
// Property `.calculateGroupByData` is an end statement for group definition.
// This statement is only used together with `.withColumnAggregation`.
.calculateGroupByData() |
Description
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Definition of result matrix (columns, rows).
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Property .withGroupBy defines that the TextColumn1 and NumericColumn3 are used for the group by (The order is important).
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Static import is required to use a predefined enum with aggregation types.
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