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https://issues.apache.org/jira/browse/SPARK-16995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15415243#comment-15415243
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Sean Owen commented on SPARK-16995:
-----------------------------------
You haven't shown the exception -- this is typically useful.
> TreeNodeException when flat mapping RelationalGroupedDataset created from
> DataFrame containing a column created with lit/expr
> -----------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-16995
> URL: https://issues.apache.org/jira/browse/SPARK-16995
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Cédric Perriard
>
> A TreeNodeException is thrown when executing the following minimal example in
> Spark 2.0. Crucial is that the column q is generated with lit/expr.
> {code}
> import spark.implicits._
> case class test (x: Int, q: Int)
> val d = Seq(1).toDF("x")
> d.withColumn("q", lit(0)).as[test].groupByKey(_.x).flatMapGroups{case (x,
> iter) => List()}.show
> d.withColumn("q", expr("0")).as[test].groupByKey(_.x).flatMapGroups{case (x,
> iter) => List()}.show
> // this works fine
> d.withColumn("q", lit(0)).as[test].groupByKey(_.x).count()
> {code}
> A possible workaround is to write the dataframe to disk before grouping and
> mapping.
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