cloud-fan commented on a change in pull request #28900:
URL: https://github.com/apache/spark/pull/28900#discussion_r443956937
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File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
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@@ -2991,17 +2991,9 @@ class Dataset[T] private[sql](
Repartition(numPartitions, shuffle = true, logicalPlan)
}
- /**
- * Returns a new Dataset partitioned by the given partitioning expressions
into
- * `numPartitions`. The resulting Dataset is hash partitioned.
- *
- * This is the same operation as "DISTRIBUTE BY" in SQL (Hive QL).
- *
- * @group typedrel
- * @since 2.0.0
- */
- @scala.annotation.varargs
- def repartition(numPartitions: Int, partitionExprs: Column*): Dataset[T] = {
+ private def repartitionByExpression(
+ numPartitions: Option[Int],
+ partitionExprs: Column*): Dataset[T] = {
Review comment:
for internal method, we don't need to use var-length parameter list.
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