Github user aarondav commented on a diff in the pull request:
https://github.com/apache/spark/pull/126#discussion_r10549758
--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -1025,6 +1025,14 @@ abstract class RDD[T: ClassTag](
checkpointData.flatMap(_.getCheckpointFile)
}
+ def cleanup() {
+ logInfo("Cleanup called on RDD " + id)
+ sc.cleaner.cleanRDD(this)
+ dependencies.filter(_.isInstanceOf[ShuffleDependency[_, _]])
--- End diff --
This is probably not important, but a while loop would be much faster here.
This would likely only be a problem if the dependency list was very long or
many RDDs were being cleaned up simultaneously (an ML or streaming program,
perhaps). Feel free to not change this if you feel that the code change is not
worth the performance benefit here.
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