Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18652#discussion_r127907280
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -1912,6 +1913,26 @@ class Analyzer(
nondeterToAttr.get(e).map(_.toAttribute).getOrElse(e)
}.copy(child = newChild)
+ case j: Join if j.condition.isDefined &&
!j.condition.get.deterministic =>
+ j match {
+ // We can push down non-deterministic joining keys.
+ // We can't push down non-deterministic conditions.
+ case ExtractEquiJoinKeys(_, leftKeys, rightKeys, conditions, _,
_)
--- End diff --
We do not support non-deterministic join condition. Thus, our current
execution orders in the join implementation might not behave correctly.
If we really need to support it, we have to check what is the right
behavior in the traditional DB system.
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