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From Aniket Bhatnagar <aniket.bhatna...@gmail.com>
Subject Re: RuntimeException: Null value appeared in non-nullable field when holding Optional Case Class
Date Thu, 03 Nov 2016 21:52:01 GMT
Issue raised - SPARK-18251

On Wed, Nov 2, 2016, 9:12 PM Aniket Bhatnagar <aniket.bhatnagar@gmail.com>
wrote:

> Hi all
>
> I am running into a runtime exception when a DataSet is holding an Empty
> object instance for an Option type that is holding non-nullable field. For
> instance, if we have the following case class:
>
> case class DataRow(id: Int, value: String)
>
> Then, DataSet[Option[DataRow]] can only hold Some(DataRow) objects and
> cannot hold Empty. If it does so, the following exception is thrown:
>
> Exception in thread "main" org.apache.spark.SparkException: Job aborted
> due to stage failure: Task 6 in stage 0.0 failed 1 times, most recent
> failure: Lost task 6.0 in stage 0.0 (TID 6, localhost):
> java.lang.RuntimeException: Null value appeared in non-nullable field:
> - field (class: "scala.Int", name: "id")
> - option value class:
> "com.aol.advertising.dmp.audscale.uts.DataSetOptBug.DataRow"
> - root class: "scala.Option"
> If the schema is inferred from a Scala tuple/case class, or a Java bean,
> please try to use scala.Option[_] or other nullable types (e.g.
> java.lang.Integer instead of int/scala.Int).
>
>
> I am attaching a sample program to reproduce this. Is this a known
> limitation or a bug?
>
> Thanks,
> Aniket
>
> Full stack trace:
>
> Exception in thread "main" org.apache.spark.SparkException: Job aborted
> due to stage failure: Task 6 in stage 0.0 failed 1 times, most recent
> failure: Lost task 6.0 in stage 0.0 (TID 6, localhost):
> java.lang.RuntimeException: Null value appeared in non-nullable field:
> - field (class: "scala.Int", name: "id")
> - option value class: "DataSetOptBug.DataRow"
> - root class: "scala.Option"
> If the schema is inferred from a Scala tuple/case class, or a Java bean,
> please try to use scala.Option[_] or other nullable types (e.g.
> java.lang.Integer instead of int/scala.Int).
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithoutKey$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
> at org.apache.spark.scheduler.Task.run(Task.scala:86)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
>
>

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