Sum values of PairRDD

Question

I have an RDD of type:

dataset :org.apache.spark.rdd.RDD[(String, Double)] = MapPartitionRDD[26]

Which is equivalent to (Pedro, 0.083

Answer 1

like this?:

map(_._2).reduce((x, y) => x + y)

breakdown: map the tuple to just the double values, then reduce the RDD by summing.

Answer 2

Considering your input data, you can do the following :

// example
val datasets = sc.parallelize(List(("Pedro", 0.0833), ("Hello", 0.001828))) 
datasets.map(_._2).sum()
// res3: Double = 0.085128
// or
datasets.map(_._2).reduce(_ + _)
// res4: Double = 0.085128
// or even
datasets.values.sum()
// res5: Double = 0.085128