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https://issues.apache.org/jira/browse/SPARK-32238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun resolved SPARK-32238.
-----------------------------------
Fix Version/s: 3.1.0
2.4.7
3.0.1
Resolution: Fixed
Issue resolved by pull request 29050
[https://github.com/apache/spark/pull/29050]
> Use Utils.getSimpleName to avoid hitting Malformed class name in ScalaUDF
> -------------------------------------------------------------------------
>
> Key: SPARK-32238
> URL: https://issues.apache.org/jira/browse/SPARK-32238
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.2, 2.1.3, 2.2.3, 2.3.4, 2.4.6, 3.0.0
> Reporter: wuyi
> Assignee: wuyi
> Priority: Minor
> Fix For: 3.0.1, 2.4.7, 3.1.0
>
>
> *BEFORE*
> {code:java}
> object MalformedClassObject extends Serializable {
> class MalformedFunction extends (String => Int) with Serializable {
> override def apply(v1: String): Int = v1.toInt / 0
> }
> }
> Seq("20").toDF("col").select(udf(new
> MalformedFunction).apply(Column("col"))).collect()
> An exception or error caused a run to abort: Malformed class name
> java.lang.InternalError: Malformed class name
> at java.lang.Class.getSimpleName(Class.java:1330)
> at
> org.apache.spark.sql.catalyst.expressions.ScalaUDF.udfErrorMessage$lzycompute(ScalaUDF.scala:1157)
> at
> org.apache.spark.sql.catalyst.expressions.ScalaUDF.udfErrorMessage(ScalaUDF.scala:1155)
> at
> org.apache.spark.sql.catalyst.expressions.ScalaUDF.doGenCode(ScalaUDF.scala:1077)
> at
> org.apache.spark.sql.catalyst.expressions.Expression.$anonfun$genCode$3(Expression.scala:147)
> at scala.Option.getOrElse(Option.scala:189)
> at
> org.apache.spark.sql.catalyst.expressions.Expression.genCode(Expression.scala:142)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.genCode(namedExpressions.scala:160)
> at
> org.apache.spark.sql.execution.ProjectExec.$anonfun$doConsume$1(basicPhysicalOperators.scala:69)
> ....
> {code}
> *AFTER*
> {code}
> org.apache.spark.SparkException: Failed to execute user defined
> function(UDFSuite$MalformedClassObject$MalformedNonPrimitiveFunction:
> (string) => int)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:753)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:127)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:464)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:467)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.ArithmeticException: / by zero
> at
> org.apache.spark.sql.UDFSuite$MalformedClassObject$MalformedNonPrimitiveFunction.apply(UDFSuite.scala:677)
> at
> org.apache.spark.sql.UDFSuite$MalformedClassObject$MalformedNonPrimitiveFunction.apply(UDFSuite.scala:676)
> ... 17 more
> {code}
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