Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18652#discussion_r127897413
--- 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.
--- End diff --
> One row in side A could match multiple rows in side B. The join
conditions could be also evaluated multiple times for the same row in side A,
right? Then, if we push it down to the side A, it could also break the number
of rand calls, right?
No. Joining keys are evaluated at once on two tables. Then we simply match
the evaluated results.
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