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 eafe3b17c213..53268b169de4 100644
--- a/core/src/main/scala/org/apache/spark/rdd/RDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
@@ -430,8 +430,6 @@ abstract class RDD[T: ClassTag](
    *
    * If you are decreasing the number of partitions in this RDD, consider using `coalesce`,
    * which can avoid performing a shuffle.
-   *
-   * TODO Fix the Shuffle+Repartition data loss issue described in SPARK-23207.
    */
   def repartition(numPartitions: Int)(implicit ord: Ordering[T] = null): RDD[T] = withScope {
     coalesce(numPartitions, shuffle = true)