cloud-fan commented on code in PR #52153:
URL: https://github.com/apache/spark/pull/52153#discussion_r2309660051
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sql/core/src/main/scala/org/apache/spark/sql/classic/Dataset.scala:
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@@ -1544,6 +1544,35 @@ class Dataset[T] private[sql](
}
}
+ /**
+ * Repartitions the Dataset using the specified partition ID expression.
+ *
+ * The number of partitions will be configured by
`spark.sql.shuffle.partitions`.
+ *
+ * @param partitionIdExpr the expression to be used as the partition ID.
Must be an integral type.
+ *
+ * @group typedrel
+ * @since 4.1.0
+ */
+ def repartitionById(partitionIdExpr: Column): Dataset[T] = {
Review Comment:
I feel it's risky to provide a default numPartitions. Can we always ask
users to specify numPartitions?
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