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Posted to issues@spark.apache.org by "Cheng Lian (JIRA)" <ji...@apache.org> on 2016/11/30 21:36:59 UTC
[jira] [Resolved] (SPARK-18251) DataSet API | RuntimeException:
Null value appeared in non-nullable field when holding Option Case Class
[ https://issues.apache.org/jira/browse/SPARK-18251?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Cheng Lian resolved SPARK-18251.
--------------------------------
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 15979
[https://github.com/apache/spark/pull/15979]
> 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
> 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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