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From "Aniket Bhatnagar (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-18251) DataSet API | RuntimeException: Null value appeared in non-nullable field when holding Option Case Class
Date Thu, 03 Nov 2016 10:51:59 GMT

     [ https://issues.apache.org/jira/browse/SPARK-18251?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Aniket Bhatnagar updated SPARK-18251:
-------------------------------------
    Description: 
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: "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)


The bug can be reproduce by using the program: https://gist.github.com/aniketbhatnagar/2ed74613f70d2defe999c18afaa4816e

  was:
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: "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)


I am attaching a sample program that can be used to reproduce this bug.



> DataSet API | RuntimeException: Null value appeared in non-nullable field when holding
Option Case Class
> --------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-18251
>                 URL: https://issues.apache.org/jira/browse/SPARK-18251
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.0.1
>         Environment: OS X
>            Reporter: Aniket Bhatnagar
>
> 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: "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)
> The bug can be reproduce by using the program: https://gist.github.com/aniketbhatnagar/2ed74613f70d2defe999c18afaa4816e



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