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https://issues.apache.org/jira/browse/SPARK-22152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16183570#comment-16183570
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Takeshi Yamamuro edited comment on SPARK-22152 at 9/28/17 2:14 AM:
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`Dataset[Option[T]]` is used in a natural usecase? Usually, I think 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}
was (Author: maropu):
`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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