summarize a vector in spark

vectorsum.scala

import org.apache.spark.sql.Row
import breeze.linalg.DenseVector 
import org.apache.spark.mllib.linalg.{Vector, Vectors}

val t_df = sqlContext.read.parquet("/user/s89718/Pivoted_cust_weekday_total_with_Clusters.parquet")
val tm_df = t_df.select("IP_ID","assembled")
val emptyVector = BDV(Array.fill(7)(0.0))

val zeVector = tm_df
  .rdd
  .map{ case Row(k: String, v: Vector) =>  (k, DenseVector(v.toDense.values)) }
  .map( _._2 )
  .fold(emptyVector){ (acc,t) => acc += t }
 
val zeVectorDense = Vectors.dense(zeVector.toArray)

println(zeVectorDense)