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https://issues.apache.org/jira/browse/SPARK-32459?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-32459:
------------------------------------

    Assignee: Apache Spark

> UDF regression of WrappedArray supporting caused by SPARK-31826
> ---------------------------------------------------------------
>
>                 Key: SPARK-32459
>                 URL: https://issues.apache.org/jira/browse/SPARK-32459
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: wuyi
>            Assignee: Apache Spark
>            Priority: Major
>
>  
> {code:java}
> test("WrappedArray") {
>   val myUdf = udf((a: WrappedArray[Int]) =>
>     WrappedArray.make[Int](Array(a.head + 99)))
>   checkAnswer(Seq(Array(1))
>     .toDF("col")
>     .select(myUdf(Column("col"))),
>     Row(ArrayBuffer(100)))
> }{code}
> Execute the above test in master branch, we'll hit the error:
> {code:java}
> [info]   org.apache.spark.SparkException: Job aborted due to stage failure: 
> Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in 
> stage 0.0 (TID 0, 192.168.101.3, executor driver): 
> java.lang.RuntimeException: Error while decoding: 
> java.lang.ClassCastException: scala.collection.mutable.ArrayBuffer cannot be 
> cast to scala.collection.mutable.WrappedArray[info]  {code}
> However, the test can be executed successfully in branch-3.0.
>  
> This's actually a regression caused by SPARK-31826. And the regression 
> happens after we changed the catalyst-to-scala converter from 
> CatalystTypeConverters to ExpressionEncoder.deserializer .
>  



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