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Posted to issues@spark.apache.org by "e89ff95a (JIRA)" <ji...@apache.org> on 2017/01/03 12:34:58 UTC
[jira] [Commented] (SPARK-19056) Row encoder should accept optional
types
[ https://issues.apache.org/jira/browse/SPARK-19056?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15794957#comment-15794957 ]
e89ff95a commented on SPARK-19056:
----------------------------------
CC [~cloud_fan]
> 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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