You may try applying this PR https://github.com/apache/spark/pull/18416.
On Fri, Aug 17, 2018 at 9:13 AM Venkat Dabri <venkatda...@gmail.com> wrote: > 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 > >> > > >
