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https://issues.apache.org/jira/browse/SPARK-19056?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15795013#comment-15795013
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Wenchen Fan commented on SPARK-19056:
-------------------------------------
This is intentional. Allowing `Option` in `Row` is never documented and brings
a lot of troubles when we apply the encoder framework to all typed operations.
Since Spark 2.0, please use `Dataset` for typed operation/custom objects. e.g.
{code}
val ds = Seq(1 -> None, 2 -> Some("str")).toDS
ds.toDF // schema: <_1: int, _2: string>
{code}
> Row encoder should accept optional types
> ----------------------------------------
>
> Key: SPARK-19056
> URL: https://issues.apache.org/jira/browse/SPARK-19056
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0, 2.1.0, 2.2.0
> Reporter: e89ff95a
>
> Since Spark 2.0 Spark doesn't accept optional types with `RowEncoder`:
> {code}
> import org.apache.spark.sql.types._
> import org.apache.spark.sql.Row
> spark.createDataFrame(
> sc.parallelize(Seq(Row(None))),
> StructType(Seq(StructField("v", StringType, true)))
> ).first
> // Caused by: java.lang.RuntimeException: Error while encoding:
> java.lang.RuntimeException: scala.None$ is not a valid external type for
> schema of string
> {code}
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