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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/08/26 07:23:22 UTC

[jira] [Commented] (SPARK-17248) Add native Scala enum support to Dataset Encoders

    [ https://issues.apache.org/jira/browse/SPARK-17248?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15438595#comment-15438595 ] 

Sean Owen commented on SPARK-17248:
-----------------------------------

As a workaround, just encode these as Strings. I imagine that's how it would be implemented anyway.

> Add native Scala enum support to Dataset Encoders
> -------------------------------------------------
>
>                 Key: SPARK-17248
>                 URL: https://issues.apache.org/jira/browse/SPARK-17248
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Silvio Fiorito
>
> Enable support for Scala enums in Encoders. Ideally, users should be able to use enums as part of case classes automatically.
> Currently, this code...
> {code}
> object MyEnum extends Enumeration {
>   type MyEnum = Value
>   val EnumVal1, EnumVal2 = Value
> }
> case class MyClass(col: MyEnum.MyEnum)
> val data = Seq(MyClass(MyEnum.EnumVal1), MyClass(MyEnum.EnumVal2)).toDS()
> {code}
> ...results in this stacktrace:
> {code}
> ava.lang.UnsupportedOperationException: No Encoder found for MyEnum.MyEnum
> - field (class: "scala.Enumeration.Value", name: "col")
> - root class: "line550c9f34c5144aa1a1e76bcac863244717.$read.$iwC.$iwC.$iwC.$iwC.MyClass"
> 	at org.apache.spark.sql.catalyst.ScalaReflection$.org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor(ScalaReflection.scala:598)
> 	at org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$9.apply(ScalaReflection.scala:592)
> 	at org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$9.apply(ScalaReflection.scala:583)
> 	at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
> 	at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
> 	at scala.collection.immutable.List.foreach(List.scala:318)
> 	at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
> 	at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
> 	at org.apache.spark.sql.catalyst.ScalaReflection$.org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor(ScalaReflection.scala:583)
> 	at org.apache.spark.sql.catalyst.ScalaReflection$.serializerFor(ScalaReflection.scala:425)
> 	at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:61)
> 	at org.apache.spark.sql.Encoders$.product(Encoders.scala:274)
> 	at org.apache.spark.sql.SQLImplicits.newProductEncoder(SQLImplicits.scala:47)
> {code}



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