Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/11105#discussion_r55448680
--- Diff: core/src/main/scala/org/apache/spark/scheduler/ResultTask.scala
---
@@ -66,7 +67,10 @@ private[spark] class ResultTask[T, U](
_executorDeserializeTime = System.currentTimeMillis() -
deserializeStartTime
metrics = Some(context.taskMetrics)
- func(context, rdd.iterator(partition, context))
+ val itr = rdd.iterator(partition, context)
+ val result = func(context, itr)
+ val computedFullPartition = itr.isEmpty || rdd.storageLevel !=
StorageLevel.NONE
--- End diff --
hmmm thats a good point - I'll move detecting computing the full partition
being consumed to be per-RDD.
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