[
https://issues.apache.org/jira/browse/SPARK-32238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-32238:
----------------------------------
Description:
{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}
was:
{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}
> 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: Improvement
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: wuyi
> Priority: Minor
>
> {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}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
