Leo Romanovsky created SPARK-21204:
--------------------------------------
Summary: 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
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
--
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
