Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/11083#discussion_r53563479
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
---
@@ -76,6 +77,27 @@ case class OrderedDistribution(ordering: Seq[SortOrder])
extends Distribution {
}
/**
+ * Marker trait to identify the shape in which tuples are broadcasted.
Typical examples of this are
+ * identity (tuples remain unchanged) or hashed (tuples are converted into
some hash index).
+ */
+trait BroadcastMode {
+ def transform(rows: Array[InternalRow]): Any
+}
+
+/**
+ * IdentityBroadcastMode requires that rows are broadcasted in their
original form.
+ */
+case object IdentityBroadcastMode extends BroadcastMode {
+ override def transform(rows: Array[InternalRow]): Array[InternalRow] =
rows
+}
+
+/**
+ * Represents data where tuples are broadcasted to every node. It is
quite common that the
+ * entire set of tuples is transformed into different data structure.
+ */
+case class BroadcastDistribution(mode: BroadcastMode) extends Distribution
--- End diff --
ok for now, but technically once we introduce this, "Distribution" is not
just about "distribution" anymore, but rather some data property.
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