We are using spark 2.2.0. Is it possible to bring the ExpressionEncoder from 2.3.0 and related classes into my code base and use them? I see the changes in ExpressionEncoder between 2.3.0 and 2.2.0 is not much but there might be many other classes underneath that might have changed.
On Thu, Aug 16, 2018 at 5:23 AM, Manu Zhang <owenzhang1...@gmail.com> wrote: > Hi, > > It's added since Spark 2.3.0. > https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/SQLImplicits.scala#L180 > > Regards, > Manu Zhang > > On Thu, Aug 16, 2018 at 9:59 AM V0lleyBallJunki3 <venkatda...@gmail.com> > wrote: >> >> Hello, >> I am using Spark 2.2.2 with Scala 2.11.8. I wrote a short program >> >> val spark = SparkSession.builder().master("local[4]").getOrCreate() >> >> case class TestCC(i: Int, ss: Set[String]) >> >> import spark.implicits._ >> import spark.sqlContext.implicits._ >> >> val testCCDS = Seq(TestCC(1,Set("SS","Salil")), TestCC(2, Set("xx", >> "XYZ"))).toDS() >> >> >> I get : >> java.lang.UnsupportedOperationException: No Encoder found for Set[String] >> - field (class: "scala.collection.immutable.Set", name: "ss") >> - root class: "TestCC" >> at >> >> org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor$1.apply(ScalaReflection.scala:632) >> at >> >> org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor$1.apply(ScalaReflection.scala:455) >> at >> >> scala.reflect.internal.tpe.TypeConstraints$UndoLog.undo(TypeConstraints.scala:56) >> at >> >> org.apache.spark.sql.catalyst.ScalaReflection$class.cleanUpReflectionObjects(ScalaReflection.scala:809) >> at >> >> org.apache.spark.sql.catalyst.ScalaReflection$.cleanUpReflectionObjects(ScalaReflection.scala:39) >> at >> >> org.apache.spark.sql.catalyst.ScalaReflection$.org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor(ScalaReflection.scala:455) >> at >> >> org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor$1$$anonfun$10.apply(ScalaReflection.scala:626) >> at >> >> org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor$1$$anonfun$10.apply(ScalaReflection.scala:614) >> at >> >> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) >> >> To the best of my knowledge implicit support for Set has been added in >> Spark >> 2.2. Am I missing something? >> >> >> >> -- >> Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
