[jira] [Commented] (SPARK-22152) Add Dataset flatten function

["Takeshi Yamamuro (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-22152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16183570#comment-16183570 ] 

Takeshi Yamamuro commented on SPARK-22152:
------------------------------------------

`Dataset[Option[T]]` is used in a natural usecase? Usually, we can use null instead to represent if it exists or not?
{code}
scala> case class Data(a: Option[Int])
defined class Data

scala> val ds = Seq(Data(Some(1)), Data(None)).toDS
ds: org.apache.spark.sql.Dataset[Data] = [a: int]

scala> ds.show
+----+
|   a|
+----+
|   1|
|null|
+----+
{code}

> Add Dataset flatten function
> ----------------------------
>
>                 Key: SPARK-22152
>                 URL: https://issues.apache.org/jira/browse/SPARK-22152
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Drew Robb
>            Priority: Minor
>
> Currently you can use an identify flatMap to flatten a Dataset, for example to get from a Dataset[Option[T]] to a Dataset[T], but adding flatten directly would allow for a more similar API to scala collections.



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