TreeNodeException: No function to evaluate expression. type: AttributeReference, tree: id#0 on GROUP BY

[Martin Gammelsæter]

Hi again!

I am having problems when using GROUP BY on both SQLContext and
HiveContext (same problem).

My code (simplified as much as possible) can be seen here:
http://pastebin.com/33rjW67H

In short, I'm getting data from a Cassandra store with Datastax' new
driver (which works great by the way, recommended!), and mapping it to
a Spark SQL table through a Product class (Dokument in the source).
Regular SELECTs and stuff works fine, but once I try to do a GROUP BY,
I get the following error:

Exception in thread "main" org.apache.spark.SparkException: Job
aborted due to stage failure: Task 0.0:25 failed 4 times, most recent
failure: Exception failure in TID 63 on host 192.168.121.132:
org.apache.spark.sql.catalyst.errors.package$TreeNodeException: No
function to evaluate expression. type: AttributeReference, tree: id#0
        
org.apache.spark.sql.catalyst.expressions.AttributeReference.eval(namedExpressions.scala:158)
        
org.apache.spark.sql.catalyst.expressions.MutableProjection.apply(Projection.scala:64)
        
org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$7$$anon$1.next(Aggregate.scala:195)
        
org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$7$$anon$1.next(Aggregate.scala:174)
        scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
        scala.collection.Iterator$class.foreach(Iterator.scala:727)
        scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
        scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
        
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
        scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
        scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
        scala.collection.AbstractIterator.to(Iterator.scala:1157)
        
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
        scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
        
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
        scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
        org.apache.spark.rdd.RDD$$anonfun$15.apply(RDD.scala:750)
        org.apache.spark.rdd.RDD$$anonfun$15.apply(RDD.scala:750)
        
org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1096)
        
org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1096)
        org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:112)
        org.apache.spark.scheduler.Task.run(Task.scala:51)
        org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
        
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        java.lang.Thread.run(Thread.java:745)

What am I doing wrong?

-- 
Best regards,
Martin Gammelsæter