How to convert an Iterable to an RDD

Question

To be more specific, how can i convert a scala.Iterable to a org.apache.spark.rdd.RDD ?

I have an RDD of (String, Iterable[(String, Integer)]) and i want this to be converted into an RDD of (String, RDD[String, Integer]) , so that i can apply a reduceByKey function to the internal RDD .

eg i have an RDD where key is 2-lettered prefix of a person's name and the value is List of pairs of Person name and hours that they spent in an event

my RDD is :

("To", List(("Tom",50),("Tod","30"),("Tom",70),("Tod","25"),("Tod",15)) ("Ja", List(("Jack",50),("James","30"),("Jane",70),("James","25"),("Jasper",15))

i need the List to be converted to RDD so that i can use accumulate each person's total hours spent. Applying reduceByKey and make the result as ("To", RDD(("Tom",120),("Tod","70")) ("Ja", RDD(("Jack",120),("James","55"),("Jane",15))

But i counldn't find any such transformation function. How can i do this ?

Thanks in advance.

Answer 1

You can achieve this by using a flatMap and reduceByKey . Something like this:

rdd.flatMap{case(key, list) => list.map(item => ((key,item._1), item._2))}
   .reduceByKey(_+_)
   .map{case((key,name),hours) => (key, List((name, hours)))}
   .reduceByKey(_++_)