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From Aniket Bhatnagar <aniket.bhatna...@gmail.com>
Subject RuntimeException: Null value appeared in non-nullable field when holding Optional Case Class
Date Wed, 02 Nov 2016 21:12:25 GMT
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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