Github user rxin commented on a diff in the pull request: https://github.com/apache/spark/pull/15567#discussion_r84333278 --- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala --- @@ -787,14 +787,26 @@ abstract class RDD[T: ClassTag]( } /** - * [performance] Spark's internal mapPartitions method which skips closure cleaning. It is a - * performance API to be used carefully only if we are sure that the RDD elements are + * [performance] Spark's internal mapPartitionsWithIndex method that skips closure cleaning. + * It is a performance API to be used carefully only if we are sure that the RDD elements are * serializable and don't require closure cleaning. * * @param preservesPartitioning indicates whether the input function preserves the partitioner, * which should be `false` unless this is a pair RDD and the input function doesn't modify * the keys. */ + private[spark] def mapPartitionsWithIndexInternal[U: ClassTag]( + f: (Int, Iterator[T]) => Iterator[U], + preservesPartitioning: Boolean = false): RDD[U] = withScope { + new MapPartitionsRDD( + this, + (context: TaskContext, index: Int, iter: Iterator[T]) => f(index, iter), + preservesPartitioning) + } + + /** + * [performance] Spark's internal mapPartitions method that skips closure cleaning. + */ private[spark] def mapPartitionsInternal[U: ClassTag]( --- End diff -- can we get rid of this?
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org