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https://issues.apache.org/jira/browse/SPARK-25690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16646760#comment-16646760
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Apache Spark commented on SPARK-25690:
--------------------------------------

User 'maryannxue' has created a pull request for this issue:
https://github.com/apache/spark/pull/22701

> Analyzer rule "HandleNullInputsForUDF" does not stabilize and can be applied 
> infinitely
> ---------------------------------------------------------------------------------------
>
>                 Key: SPARK-25690
>                 URL: https://issues.apache.org/jira/browse/SPARK-25690
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Spark Core, SQL
>    Affects Versions: 2.4.0
>            Reporter: Maryann Xue
>            Priority: Major
>
> This was fixed in SPARK-24891 and was then broken by SPARK-25044.
> The unit test in {{AnalysisSuite}} added in SPARK-24891 should have failed 
> but didn't because it wasn't properly updated after the {{ScalaUDF}} 
> constructor signature change. In the meantime, the other two end-to-end tests 
> added in SPARK-24891 were shadowed by SPARK-24865.
> So the unit test mentioned above, if updated properly, can reproduce this 
> issue:
> {code:java}
> test("SPARK-24891 Fix HandleNullInputsForUDF rule") {
>   val a = testRelation.output(0)
>   val func = (x: Int, y: Int) => x + y
>   val udf1 = ScalaUDF(func, IntegerType, a :: a :: Nil, nullableTypes = false 
> :: false :: Nil)
>   val udf2 = ScalaUDF(func, IntegerType, a :: udf1 :: Nil, nullableTypes = 
> false :: false :: Nil)
>   val plan = Project(Alias(udf2, "")() :: Nil, testRelation)
>   comparePlans(plan.analyze, plan.analyze.analyze)
> }{code}



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