Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/2274#discussion_r17152358
--- Diff:
core/src/main/scala/org/apache/spark/rdd/OrderedRDDFunctions.scala ---
@@ -64,4 +64,17 @@ class OrderedRDDFunctions[K : Ordering : ClassTag,
new ShuffledRDD[K, V, V](self, part)
.setKeyOrdering(if (ascending) ordering else ordering.reverse)
}
+
+ /**
+ * Repartition the RDD according to the given partitioner and, within
each resulting partition,
+ * sort records by their keys.
+ *
+ * This is more efficient than calling `repartition` and then sorting
within each partition
+ * because it can push the sorting down into the shuffle machinery.
+ */
+ def repartitionAndSortWithinPartition(partitioner: Partitioner)
+ : RDD[(K, V)] = {
--- End diff --
u can put this on the previous line ...
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