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https://issues.apache.org/jira/browse/SPARK-4854?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-4854:
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Target Version/s: 1.3.0
> Custom UDTF with Lateral View throws ClassNotFound exception in Spark SQL CLI
> -----------------------------------------------------------------------------
>
> Key: SPARK-4854
> URL: https://issues.apache.org/jira/browse/SPARK-4854
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.1.0, 1.1.1
> Reporter: Shenghua Wan
>
> Hello,
> I met a problem when using Spark sql CLI. A custom UDTF with lateral view
> throws ClassNotFound exception. I did a couple of experiments in same
> environment (spark version 1.1.0, 1.1.1):
> select + same custom UDTF (Passed)
> select + lateral view + custom UDTF (ClassNotFoundException)
> select + lateral view + built-in UDTF (Passed)
> I have done some googling there days and found one related issue ticket of
> Spark
> https://issues.apache.org/jira/browse/SPARK-4811
> which is about "Custom UDTFs not working in Spark SQL".
> It should be helpful to put actual code here to reproduce the problem.
> However, corporate regulations might prohibit this. So sorry about this.
> Directly using explode's source code in a jar will help anyway.
> Here is a portion of stack print when exception, just in case:
> java.lang.ClassNotFoundException: XXX
> at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
> at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
> at java.security.AccessController.doPrivileged(Native Method)
> at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
> at
> org.apache.spark.sql.hive.HiveFunctionFactory$class.createFunction(hiveUdfs.scala:81)
>
> at
> org.apache.spark.sql.hive.HiveGenericUdtf.createFunction(hiveUdfs.scala:247)
> at
> org.apache.spark.sql.hive.HiveGenericUdtf.function$lzycompute(hiveUdfs.scala:254)
>
> at
> org.apache.spark.sql.hive.HiveGenericUdtf.function(hiveUdfs.scala:254)
> at
> org.apache.spark.sql.hive.HiveGenericUdtf.outputInspectors$lzycompute(hiveUdfs.scala:261)
>
> at
> org.apache.spark.sql.hive.HiveGenericUdtf.outputInspectors(hiveUdfs.scala:260)
>
> at
> org.apache.spark.sql.hive.HiveGenericUdtf.outputDataTypes$lzycompute(hiveUdfs.scala:265)
>
> at
> org.apache.spark.sql.hive.HiveGenericUdtf.outputDataTypes(hiveUdfs.scala:265)
> at
> org.apache.spark.sql.hive.HiveGenericUdtf.makeOutput(hiveUdfs.scala:269)
> at
> org.apache.spark.sql.catalyst.expressions.Generator.output(generators.scala:60)
>
> at
> org.apache.spark.sql.catalyst.plans.logical.Generate$$anonfun$1.apply(basicOperators.scala:50)
>
> at
> org.apache.spark.sql.catalyst.plans.logical.Generate$$anonfun$1.apply(basicOperators.scala:50)
>
> at scala.Option.map(Option.scala:145)
> at
> org.apache.spark.sql.catalyst.plans.logical.Generate.generatorOutput(basicOperators.scala:50)
>
> at
> org.apache.spark.sql.catalyst.plans.logical.Generate.output(basicOperators.scala:60)
>
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveChildren$1.apply(LogicalPlan.scala:79)
>
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveChildren$1.apply(LogicalPlan.scala:79)
>
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
>
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
>
> at scala.collection.immutable.List.foreach(List.scala:318)
> at
> scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
> at
> scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
> ....the rest is omitted.
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