How to transform a item in RDD(Spark) to many items in RDD?

Question

I get a RDD with 'Scan' action from 'HBase'. Each item in this RDD is like: x1, y1, y2, y3... So the items in this RDD are like(each line is a row result of scan action):

1. x1, y1, y2, y3
2. x2, y1, y4, y8, y9
3. x3, y5
4. ......
5. xn, y1, y6, y100

I want transform this RDD to another RDD like:

1. x1, y1
2. x1, y2
3. x1, y3
4. x2, y1
5. x2, y4
6. ...
7. xn, y1
8. xn, y6
9. xn, y100

How can I do this transform?

Answer 1

"flatMap that sh*t":

rdd.flatMap(x => {
  val key = x.head
  x.tail.map(y=>(key,y))
})