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Leif Warner commented on SPARK-17248: ------------------------------------- Much more efficient encodings than strings are possible with enums. That's a big reason I was looking to encode things as enums (or the Scala sum type equivalent, a sealed abstract class with a few case objects that extend it). Consider: {code} object Bool extends Enumeration { val True, False = Value } {code} It'd be a lot more efficient to encode a 1 or 0 instead of the strings "True" or "False" every time. > 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} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org