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-rw-r--r--core/src/main/scala/org/apache/spark/rdd/RDD.scala3
1 files changed, 2 insertions, 1 deletions
diff --git a/core/src/main/scala/org/apache/spark/rdd/RDD.scala b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
index 0359508c00..e524675332 100644
--- a/core/src/main/scala/org/apache/spark/rdd/RDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
@@ -423,7 +423,8 @@ abstract class RDD[T: ClassTag](
*
* This results in a narrow dependency, e.g. if you go from 1000 partitions
* to 100 partitions, there will not be a shuffle, instead each of the 100
- * new partitions will claim 10 of the current partitions.
+ * new partitions will claim 10 of the current partitions. If a larger number
+ * of partitions is requested, it will stay at the current number of partitions.
*
* However, if you're doing a drastic coalesce, e.g. to numPartitions = 1,
* this may result in your computation taking place on fewer nodes than