Github user nongli commented on a diff in the pull request:
https://github.com/apache/spark/pull/10209#discussion_r47291050
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicOperators.scala
---
@@ -122,11 +122,22 @@ case class Except(left: LogicalPlan, right:
LogicalPlan) extends SetOperation(le
override def output: Seq[Attribute] = left.output
}
+object Join {
+ def apply(
+ left: LogicalPlan,
+ right: LogicalPlan,
+ joinType: JoinType,
+ condition: Option[Expression]): Join = {
+ Join(left, right, joinType, condition, None)
+ }
+}
+
case class Join(
left: LogicalPlan,
right: LogicalPlan,
joinType: JoinType,
- condition: Option[Expression]) extends BinaryNode {
+ condition: Option[Expression],
+ generatedExpressions: Option[EquivalentExpressions]) extends BinaryNode {
--- End diff --
I started down that path but can you think of a way to make that handle the
more general case of predicate propagation?
t1.key join t2.key where t1.key = t2.key and t1.key = 5.
How do we generate the predicate t2.key = 5? how do we make this more
general?
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