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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2017/11/10 06:03:00 UTC

[jira] [Resolved] (SPARK-22472) Datasets generate random values for null primitive types

     [ https://issues.apache.org/jira/browse/SPARK-22472?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li resolved SPARK-22472.
-----------------------------
       Resolution: Fixed
    Fix Version/s: 2.3.0
                   2.2.1

> 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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