Description
When attempting to produce a Dataset containing a Set, such as with:
dbData .groupBy("userId") .agg(functions.collect_set("friendId") as "friendIds") .as[(Int, Set[Int])]
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.
[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)
I think the resolution to this might be similar to adding the Map type - https://github.com/apache/spark/pull/16986
Attachments
Issue Links
- is duplicated by
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SPARK-17414 Set type is not supported for creating data frames
- Closed
- links to