[jira] [Created] (SPARK-2578) RIGHT OUTER JOIN causes ClassCastException

["Christian Wuertz (JIRA)" <ji...@apache.org>]

Christian Wuertz created SPARK-2578:
---------------------------------------

             Summary: RIGHT OUTER JOIN causes ClassCastException
                 Key: SPARK-2578
                 URL: https://issues.apache.org/jira/browse/SPARK-2578
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.0.0
            Reporter: Christian Wuertz


When I run a hql query that contains a right outer join I always get this exception:

{code}
org.apache.spark.SparkDriverExecutionException: Execution error
	at org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:849)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1231)
	at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
	at akka.actor.ActorCell.invoke(ActorCell.scala:456)
	at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
	at akka.dispatch.Mailbox.run(Mailbox.scala:219)
	at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
	at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
	at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
	at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
	at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: java.lang.ClassCastException: scala.collection.mutable.HashSet cannot be cast to scala.collection.mutable.BitSet
	at org.apache.spark.sql.execution.BroadcastNestedLoopJoin$$anonfun$7.apply(joins.scala:338)
	at org.apache.spark.rdd.RDD$$anonfun$19.apply(RDD.scala:811)
	at org.apache.spark.rdd.RDD$$anonfun$19.apply(RDD.scala:808)
	at org.apache.spark.scheduler.JobWaiter.taskSucceeded(JobWaiter.scala:56)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:845)
	... 10 more
{code} 

This can easily reproduced using the queries and data from this [tutorial|http://hortonworks.com/hadoop-tutorial/how-to-process-data-with-apache-hive/]. Only the last query was modified to use a right outer join.

{code}
hiveContext.hql("SELECT a.year, a.player_id, a.runs from batting a JOIN (SELECT year, max(runs) runs FROM batting GROUP BY year ) b ON (a.year = b.year AND a.runs = b.runs)").collect.foreach(println)
{code}



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