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-rw-r--r-- | core/src/main/scala/org/apache/spark/rdd/RDD.scala | 4 |
1 files changed, 4 insertions, 0 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 10610f4b6f..cac6e3b477 100644 --- a/core/src/main/scala/org/apache/spark/rdd/RDD.scala +++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala @@ -890,6 +890,10 @@ abstract class RDD[T: ClassTag]( * Return an iterator that contains all of the elements in this RDD. * * The iterator will consume as much memory as the largest partition in this RDD. + * + * Note: this results in multiple Spark jobs, and if the input RDD is the result + * of a wide transformation (e.g. join with different partitioners), to avoid + * recomputing the input RDD should be cached first. */ def toLocalIterator: Iterator[T] = withScope { def collectPartition(p: Int): Array[T] = { |