groupBy
groupBy
groups column content into arrays.
Syntax
table.groupBy()
table.groupBy(groupByColumns...)
Parameters
Parameter | Type | Description |
---|---|---|
groupByColumns | String... | The column(s) by which to group data.
|
groupByColumns | Collection<? extends ColumnName> | The column(s) by which to group data.
|
Returns
A new table containing grouping columns and grouped data. Column content is grouped into arrays.
Examples
In this example, groupBy
creates an array of values for each column.
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", "C"),
stringCol("Y", "M", "N", "O", "N", "P", "M", "O", "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.groupBy()
- source
- result
In this example, groupBy
creates an array of values, as grouped by X
.
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", "C"),
stringCol("Y", "M", "N", "O", "N", "P", "M", "O", "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.groupBy("X")
- source
- result
In this example, groupBy
creates an array of values, as grouped by X
and Y
.
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", "C"),
stringCol("Y", "M", "N", "O", "N", "P", "M", "O", "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.groupBy("X", "Y")
- source
- result