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| author | Stephen Haberman <stephen@exigencecorp.com> | 2013-09-09 11:44:15 -0500 |
|---|---|---|
| committer | Stephen Haberman <stephen@exigencecorp.com> | 2013-09-09 11:44:15 -0500 |
| commit | 6471bfec736b033a94a96575255f2d4453082709 (patch) | |
| tree | 80e25fe1847c93c87303f44d07b7071f3549f060 | |
| parent | df5fd352735005ce0322d287ae27d72d12a7fc8e (diff) | |
| download | spark-6471bfec736b033a94a96575255f2d4453082709.tar.gz spark-6471bfec736b033a94a96575255f2d4453082709.tar.bz2 spark-6471bfec736b033a94a96575255f2d4453082709.zip | |
Reword 'evenly distributed' to 'distributed with a hash partitioner.
| -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) { |