wangyum commented on a change in pull request #33522:
URL: https://github.com/apache/spark/pull/33522#discussion_r743690305
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
##########
@@ -1057,7 +1057,7 @@ class JoinSuite extends QueryTest with SharedSparkSession
with AdaptiveSparkPlan
val pythonEvals = collect(joinNode.get) {
case p: BatchEvalPythonExec => p
}
- assert(pythonEvals.size == 2)
+ assert(pythonEvals.size == 4)
Review comment:
Yes. If we disable `spark.sql.constraintPropagation.enabled`, the plan
is:
```
== Optimized Logical Plan ==
Project [a#225, b#226, c#236, d#237]
+- Join Inner, (CAST(udf(cast(a as string)) AS INT)#250 = CAST(udf(cast(c as
string)) AS INT)#251)
:- Project [_1#220 AS a#225, _2#221 AS b#226, cast(pythonUDF0#252 as int)
AS CAST(udf(cast(a as string)) AS INT)#250]
: +- BatchEvalPython [udf(cast(_1#220 as string))], [pythonUDF0#252]
: +- LocalRelation [_1#220, _2#221]
+- Project [_1#231 AS c#236, _2#232 AS d#237, cast(pythonUDF0#253 as int)
AS CAST(udf(cast(c as string)) AS INT)#251]
+- BatchEvalPython [udf(cast(_1#231 as string))], [pythonUDF0#253]
+- LocalRelation [_1#231, _2#232]
```
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