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https://issues.apache.org/jira/browse/SPARK-26770?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16780193#comment-16780193
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nivedita singh edited comment on SPARK-26770 at 2/28/19 7:26 AM:
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I can see this NPE while creating productExtract.
Please give some more information to reproduce the issue.
was (Author: nivedeeta):
I can see this NPE while creating productExtract.
Please give some more information to reproduce the issue.
!image-2019-02-28-12-54-46-750.png!
> Misleading/unhelpful error message when wrapping a null in an Option
> --------------------------------------------------------------------
>
> Key: SPARK-26770
> URL: https://issues.apache.org/jira/browse/SPARK-26770
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.2
> Reporter: sam
> Priority: Major
>
> This
> {code}
> // Using options to indicate nullable fields
> case class Product(productID: Option[Int],
> productName: Option[String])
> val productExtract: Dataset[Product] =
> spark.createDataset(Seq(
> Product(
> productID = Some(6050286),
> // user mistake here, should be `None` not `Some(null)`
> productName = Some(null)
> )))
> productExtract.count()
> {code}
> will give an error like the one below. This error is thrown from quite deep
> down, but there should be some handling logic further up to check for nulls
> and to give a more informative error message. E.g. it could tell the user
> which field is null, it could detect the `Some(null)` error and suggest using
> `None`.
> Whatever the exception it shouldn't be NPE, since this is clearly a user
> error, so should be some kind of user error exception.
> {code}
> Caused by: org.apache.spark.SparkException: Job aborted due to stage failure:
> Task 9 in stage 1.0 failed 4 times, most recent failure: Lost task 9.3 in
> stage 1.0 (TID 276, 10.139.64.8, executor 1): java.lang.NullPointerException
> at
> org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter.write(UnsafeRowWriter.java:194)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.serializefromobject_doConsume_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.mapelements_doConsume_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:620)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
> at org.apache.spark.scheduler.Task.run(Task.scala:112)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:384)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> {code}
> I've seen quite a few other people with this error, but I don't think it's
> for the same reason:
> https://docs.databricks.com/spark/latest/data-sources/tips/redshift-npe.html
> https://groups.google.com/a/lists.datastax.com/forum/#!topic/spark-connector-user/Dt6ilC9Dn54
> https://issues.apache.org/jira/browse/SPARK-17195
> https://issues.apache.org/jira/browse/SPARK-18859
> https://github.com/datastax/spark-cassandra-connector/issues/1062
> https://stackoverflow.com/questions/39875711/spark-sql-2-0-nullpointerexception-with-a-valid-postgresql-query
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