Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/12599#discussion_r60817997
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/object.scala
---
@@ -83,6 +83,28 @@ case class SerializeFromObject(
child: LogicalPlan) extends UnaryNode with ObjectConsumer {
override def output: Seq[Attribute] = serializer.map(_.toAttribute)
+
+ // We can't estimate the size of ObjectType. We implement statistics
here to avoid
+ // directly estimate any child plan which produces domain objects as
output.
+ override def statistics: Statistics = {
+ if (child.output.head.dataType.isInstanceOf[ObjectType]) {
+ val underlyingPlan = child.find { p =>
--- End diff --
The ObjectProducer always sit in the middle of query plan (especially for
join), the direct children of join can't be ObjectProducer.
Thinking of three operators: SQL operator -> ObjectProducer ->
ObjectConsumer (produce UnsafeRow). The data size of logical plan depends on
the number of rows and the size of each row, the default size of Object only
affect size of row. The estimation of ObjectConsumer only depends on number of
rows from ObjectProducer and the size of row produced by it self, this means
the size of object will NOT change the size of ObjectConsumer.
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