diff options
| -rw-r--r-- | core/src/main/scala/org/apache/spark/rdd/RDD.scala | 4 |
1 files changed, 2 insertions, 2 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 41a90f139e..1082cbae3e 100644 --- a/core/src/main/scala/org/apache/spark/rdd/RDD.scala +++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala @@ -282,8 +282,8 @@ abstract class RDD[T: ClassManifest]( * Note: With shuffle = true, you can actually coalesce to a larger number * of partitions. This is useful if you have a small number of partitions, * say 100, potentially with a few partitions being abnormally large. Calling - * coalecse(1000, shuffle = true) will result in 1000 partitions with the - * data evenly distributed into each partition. + * coalesce(1000, shuffle = true) will result in 1000 partitions with the + * data distributed using a hash partitioner. */ def coalesce(numPartitions: Int, shuffle: Boolean = false): RDD[T] = { if (shuffle) { |