Github user mridulm commented on a diff in the pull request:
https://github.com/apache/spark/pull/448#discussion_r12348272
--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -138,7 +138,7 @@ abstract class RDD[T: ClassTag](
* it is computed. This can only be used to assign a new storage level
if the RDD does not
* have a storage level set yet..
*/
- def persist(newLevel: StorageLevel): RDD[T] = {
+ def persist(newLevel: StorageLevel): this.type = {
// TODO: Handle changes of StorageLevel
--- End diff --
So I guess this cant be applied to checkpointRDD and randomSplit ?
What about things like filter, distinct, repartition, sample, filterWith
etc ?
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