val df6 = spark.sql("select gender,children,max(age),avg(age),count(age) from Affairs group by Cube(gender,children) order by 1,2")
df6.show
+------+--------+--------+--------+----------+
|gender|children|max(age)|avg(age)|count(age)|
+------+--------+--------+--------+----------+
| null| null| 57.0| 34.0| 10|
| null| no| 37.0| 27.0| 6|
| null| yes| 57.0| 44.5| 4|
|female| null| 32.0| 29.0| 5|
|female| no| 32.0| 27.0| 3|
|female| yes| 32.0| 32.0| 2|
| male| null| 57.0| 39.0| 5|
| male| no| 37.0| 27.0| 3|
| male| yes| 57.0| 57.0| 2|
+------+--------+--------+--------+----------+
val df7 = spark.sql("select gender,children,max(age),avg(age),count(age) from Affairs group by rollup(gender,children) order by 1,2")
df7.show
+------+--------+--------+--------+----------+
|gender|children|max(age)|avg(age)|count(age)|
+------+--------+--------+--------+----------+
| null| null| 57.0| 34.0| 10|
|female| null| 32.0| 29.0| 5|
|female| no| 32.0| 27.0| 3|
|female| yes| 32.0| 32.0| 2|
| male| null| 57.0| 39.0| 5|
| male| no| 37.0| 27.0| 3|
| male| yes| 57.0| 57.0| 2|
+------+--------+--------+--------+----------+
