df.split { name.firstName }.by { it.asIterable() }.intoRows()

Input DataFrame: rowsCount = 7, columnsCount = 5

name		age	city	weight	isHappy
firstName	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

Step 1: Split

name		age	city	weight	isHappy
split1	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

Step 2: SplitWithTransform

name								age	city	weight	isHappy
split1	split2	split3	split4	split5	split6	split7	lastName
A	l	i	c	e	null	null	Cooper	15	London	54	true
B	o	b	null	null	null	null	Dylan	45	Dubai	87	true
C	h	a	r	l	i	e	Daniels	20	Moscow	null	false
C	h	a	r	l	i	e	Chaplin	40	Milan	null	true
B	o	b	null	null	null	null	Marley	30	Tokyo	68	true
A	l	i	c	e	null	null	Wolf	20	null	55	false
C	h	a	r	l	i	e	Byrd	30	Moscow	90	true

Output DataFrame: rowsCount = 37, columnsCount = 5

name		age	city	weight	isHappy
firstName	lastName
A	Cooper	15	London	54	true
l	Cooper	15	London	54	true
i	Cooper	15	London	54	true
c	Cooper	15	London	54	true
e	Cooper	15	London	54	true
B	Dylan	45	Dubai	87	true
o	Dylan	45	Dubai	87	true
b	Dylan	45	Dubai	87	true
C	Daniels	20	Moscow	null	false
h	Daniels	20	Moscow	null	false
a	Daniels	20	Moscow	null	false
r	Daniels	20	Moscow	null	false
l	Daniels	20	Moscow	null	false
i	Daniels	20	Moscow	null	false
e	Daniels	20	Moscow	null	false
C	Chaplin	40	Milan	null	true
h	Chaplin	40	Milan	null	true
a	Chaplin	40	Milan	null	true
r	Chaplin	40	Milan	null	true
l	Chaplin	40	Milan	null	true

... showing only top 20 of 37 rows

df.split { name }.by { it.values() }.intoRows()

Input DataFrame: rowsCount = 7, columnsCount = 5

name		age	city	weight	isHappy
firstName	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

Step 1: Split

split1		age	city	weight	isHappy
firstName	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

Step 2: SplitWithTransform

split1	split2	age	city	weight	isHappy
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

Output DataFrame: rowsCount = 14, columnsCount = 5

name	age	city	weight	isHappy
Alice	15	London	54	true
Cooper	15	London	54	true
Bob	45	Dubai	87	true
Dylan	45	Dubai	87	true
Charlie	20	Moscow	null	false
Daniels	20	Moscow	null	false
Charlie	40	Milan	null	true
Chaplin	40	Milan	null	true
Bob	30	Tokyo	68	true
Marley	30	Tokyo	68	true
Alice	20	null	55	false
Wolf	20	null	55	false
Charlie	30	Moscow	90	true
Byrd	30	Moscow	90	true