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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/07/27 13:22:00 UTC
[jira] [Assigned] (SPARK-32459) UDF regression of WrappedArray
supporting caused by SPARK-31826
[ https://issues.apache.org/jira/browse/SPARK-32459?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-32459:
------------------------------------
Assignee: (was: 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
> 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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