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https://issues.apache.org/jira/browse/SPARK-22472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16270178#comment-16270178
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Felix Cheung commented on SPARK-22472:
--------------------------------------
This is going out in 2.2.1 - do we need a rel note on this change?
> Datasets generate random values for null primitive types
> --------------------------------------------------------
>
> Key: SPARK-22472
> URL: https://issues.apache.org/jira/browse/SPARK-22472
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.1, 2.2.0
> Reporter: Vladislav Kuzemchik
> Assignee: Wenchen Fan
> Labels: release-notes
> Fix For: 2.2.1, 2.3.0
>
>
> Not sure if it ever were reported.
> {code}
> scala> val s =
> sc.parallelize(Seq[Option[Long]](None,Some(1L),Some(5))).toDF("v")
> s: org.apache.spark.sql.DataFrame = [v: bigint]
> scala> s.show(false)
> +----+
> |v |
> +----+
> |null|
> |1 |
> |5 |
> +----+
> scala> s.as[Long].map(v => v*2).show(false)
> +-----+
> |value|
> +-----+
> |-2 |
> |2 |
> |10 |
> +-----+
> scala> s.select($"v"*2).show(false)
> +-------+
> |(v * 2)|
> +-------+
> |null |
> |2 |
> |10 |
> +-------+
> {code}
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