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 2985c901194683216ac2887588c7a79989c463a7..5435f59ea0d28e29265999f5d66e2c7c61106f77 100644
--- a/core/src/main/scala/org/apache/spark/rdd/RDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
@@ -55,7 +55,7 @@ import org.apache.spark.util.random.{BernoulliCellSampler, BernoulliSampler, Poi
  * Doubles; and
  * [[org.apache.spark.rdd.SequenceFileRDDFunctions]] contains operations available on RDDs that
  * can be saved as SequenceFiles.
- * All operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)]
+ * All operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)])
  * through implicit.
  *
  * Internally, each RDD is characterized by five main properties: