Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/11242#discussion_r56894879
--- Diff: core/src/main/scala/org/apache/spark/rdd/UnionRDD.scala ---
@@ -62,7 +64,23 @@ class UnionRDD[T: ClassTag](
var rdds: Seq[RDD[T]])
extends RDD[T](sc, Nil) { // Nil since we implement getDependencies
+ // Evaluate partitions in parallel. Partitions of each rdd will be
cached by the `partitions`
+ // val in `RDD`.
+ private[spark] lazy val parallelPartitionEval: Boolean = {
--- End diff --
You can have multiple map tasks in one JVM right? they'd be executing
simultaneously, using this shared state simultaneously. The issue is really
Spark though, where that's definitely going to happen. Same for simply calling
`getSplits`. Isn't your current PR already doing the same thing though since it
also processes the RDDs in parallel?
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