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  1. Spark
  2. SPARK-32238

Use Utils.getSimpleName to avoid hitting Malformed class name in ScalaUDF

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Minor
    • Resolution: Fixed
    • Affects Version/s: 2.0.2, 2.1.3, 2.2.3, 2.3.4, 2.4.6, 3.0.0
    • Fix Version/s: 2.4.7, 3.0.1, 3.1.0
    • Component/s: SQL
    • Labels:
      None

      Description

      BEFORE

      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)
      	....
      

      AFTER

      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
      

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            • Assignee:
              Ngone51 wuyi
              Reporter:
              Ngone51 wuyi
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              Dates

              • Created:
                Updated:
                Resolved: