[jira] [Commented] (SPARK-18251) DataSet API | RuntimeException: Null value appeared in non-nullable field when holding Option Case Class

["koert kuipers (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-18251?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15721228#comment-15721228 ] 

koert kuipers commented on SPARK-18251:
---------------------------------------

i think all of these arguments are very valid, however to me they argue for a constraint on the top-level type of the Dataset, not the Encoder. the difference matters because Encoders are also used for types that are not the top-level type of the Dataset, such as the key type in groupByKey, or the buffer in an Aggregator.

> 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
>            Assignee: Wenchen Fan
>             Fix For: 2.2.0
>
>
> 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:
> {noformat}
> 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)
> {noformat}
> The bug can be reproduce by using the program: https://gist.github.com/aniketbhatnagar/2ed74613f70d2defe999c18afaa4816e



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