[ https://issues.apache.org/jira/browse/SPARK-21204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan reassigned SPARK-21204: ----------------------------------- Assignee: Liang-Chi Hsieh > RuntimeException with Set and Case Class in Spark 2.1.1 > ------------------------------------------------------- > > Key: SPARK-21204 > URL: https://issues.apache.org/jira/browse/SPARK-21204 > Project: Spark > Issue Type: Bug > Components: Optimizer, SQL > Affects Versions: 2.1.1 > Reporter: Leo Romanovsky > Assignee: Liang-Chi Hsieh > Fix For: 2.3.0 > > > When attempting to produce a Dataset containing a Set, such as with: > {code:java} > dbData > .groupBy("userId") > .agg(functions.collect_set("friendId") as "friendIds") > .as[(Int, Set[Int])] > {code} > An exception occurs. This can be avoided by casting to a Seq, but sometimes > it makes more logical sense have a Set, especially when using the collect_set > aggregation operation. Additionally, I am unable to write this Dataset to a > Cassandra table containing a Set column without first converting to an RDD. > {code:java} > [error] Exception in thread "main" java.lang.UnsupportedOperationException: > No Encoder found for Set[Int] > [error] - field (class: "scala.collection.immutable.Set", name: "_2") > [error] - root class: "scala.Tuple2" > [error] at > org.apache.spark.sql.catalyst.ScalaReflection$.org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor(ScalaReflection.scala:602) > [error] at > org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$9.apply(ScalaReflection.scala:596) > [error] at > org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$9.apply(ScalaReflection.scala:587) > [error] at > scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:252) > [error] at > scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:252) > [error] at scala.collection.immutable.List.foreach(List.scala:381) > [error] at > scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:252) > [error] at scala.collection.immutable.List.flatMap(List.scala:344) > [error] at > org.apache.spark.sql.catalyst.ScalaReflection$.org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor(ScalaReflection.scala:587) > [error] at > org.apache.spark.sql.catalyst.ScalaReflection$.serializerFor(ScalaReflection.scala:425) > [error] at > org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:71) > [error] at org.apache.spark.sql.Encoders$.product(Encoders.scala:275) > [error] at > org.apache.spark.sql.SQLImplicits.newProductEncoder(SQLImplicits.scala:49) > {code} > I think the resolution to this might be similar to adding the Map type - > https://github.com/apache/spark/pull/16986 -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org