Github user rezasafi commented on a diff in the pull request:
https://github.com/apache/spark/pull/16977#discussion_r102350887
--- Diff:
core/src/main/scala/org/apache/spark/rdd/ParallelCollectionRDD.scala ---
@@ -105,6 +105,17 @@ private[spark] class ParallelCollectionRDD[T:
ClassTag](
override def getPreferredLocations(s: Partition): Seq[String] = {
locationPrefs.getOrElse(s.index, Nil)
}
+
+ override def collect(): Array[T] = toArray(data)
+
+ override def take(num: Int): Array[T] = toArray(data.take(num))
+
+ private def toArray(data: Seq[T]): Array[T] = {
+ // We serialize the data and deserialize it back, to simulate the
behavior of sending it to
+ // remote executors and collect it back.
+ val ser = sc.env.closureSerializer.newInstance()
+ ser.deserialize[Seq[T]](ser.serialize(data)).toArray
+ }
--- End diff --
If data is there why we just cannot call data.toArray instead of
serializing and then deserializing data?
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