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?
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