diff options
| -rw-r--r-- | core/src/main/scala/spark/RDD.scala | 2 | ||||
| -rw-r--r-- | core/src/main/scala/spark/api/java/JavaRDDLike.scala | 2 | ||||
| -rw-r--r-- | docs/scala-programming-guide.md | 2 |
3 files changed, 3 insertions, 3 deletions
diff --git a/core/src/main/scala/spark/RDD.scala b/core/src/main/scala/spark/RDD.scala index d15c6f7396..3ad3b4d233 100644 --- a/core/src/main/scala/spark/RDD.scala +++ b/core/src/main/scala/spark/RDD.scala @@ -330,7 +330,7 @@ abstract class RDD[T: ClassManifest](@transient sc: SparkContext) extends Serial def toArray(): Array[T] = collect() /** - * Reduces the elements of this RDD using the specified associative binary operator. + * Reduces the elements of this RDD using the specified commutative and associative binary operator. */ def reduce(f: (T, T) => T): T = { val cleanF = sc.clean(f) diff --git a/core/src/main/scala/spark/api/java/JavaRDDLike.scala b/core/src/main/scala/spark/api/java/JavaRDDLike.scala index 81d3a94466..6da89f518f 100644 --- a/core/src/main/scala/spark/api/java/JavaRDDLike.scala +++ b/core/src/main/scala/spark/api/java/JavaRDDLike.scala @@ -201,7 +201,7 @@ trait JavaRDDLike[T, This <: JavaRDDLike[T, This]] extends Serializable { } /** - * Reduces the elements of this RDD using the specified associative binary operator. + * Reduces the elements of this RDD using the specified commutative and associative binary operator. */ def reduce(f: JFunction2[T, T, T]): T = rdd.reduce(f) diff --git a/docs/scala-programming-guide.md b/docs/scala-programming-guide.md index 7350eca837..95de4f50bb 100644 --- a/docs/scala-programming-guide.md +++ b/docs/scala-programming-guide.md @@ -203,7 +203,7 @@ A complete list of transformations is available in the [RDD API doc](api/core/in <tr><th>Action</th><th>Meaning</th></tr> <tr> <td> <b>reduce</b>(<i>func</i>) </td> - <td> Aggregate the elements of the dataset using a function <i>func</i> (which takes two arguments and returns one). The function should be associative so that it can be computed correctly in parallel. </td> + <td> Aggregate the elements of the dataset using a function <i>func</i> (which takes two arguments and returns one). The function should be commutative and associative so that it can be computed correctly in parallel. </td> </tr> <tr> <td> <b>collect</b>() </td> |