I’m running this query against RDD[Tweet], where Tweet is a simple case
class with 4 fields.
sqlContext.sql("""
SELECT user, COUNT(*) as num_tweets
FROM tweets
GROUP BY user
ORDER BY
num_tweets DESC,
user ASC
;
""").take(5)
The first time I run this, it throws the following:
14/07/15 06:11:51 ERROR TaskSetManager: Task 12.0:0 failed 4 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure:
Task 12.0:0 failed 4 times, most recent failure: Exception failure in
TID 978 on host ip-10-144-204-254.ec2.internal:
java.lang.ClassCastException: java.lang.Long cannot be cast to
java.lang.String
scala.math.Ordering$String$.compare(Ordering.scala:329)
org.apache.spark.sql.catalyst.expressions.RowOrdering.compare(Row.scala:227)
org.apache.spark.sql.catalyst.expressions.RowOrdering.compare(Row.scala:210)
java.util.TimSort.mergeLo(TimSort.java:687)
java.util.TimSort.mergeAt(TimSort.java:483)
java.util.TimSort.mergeCollapse(TimSort.java:410)
java.util.TimSort.sort(TimSort.java:214)
java.util.TimSort.sort(TimSort.java:173)
java.util.Arrays.sort(Arrays.java:659)
scala.collection.SeqLike$class.sorted(SeqLike.scala:615)
scala.collection.mutable.ArrayOps$ofRef.sorted(ArrayOps.scala:108)
org.apache.spark.sql.execution.Sort$$anonfun$execute$3$$anonfun$apply$4.apply(basicOperators.scala:154)
org.apache.spark.sql.execution.Sort$$anonfun$execute$3$$anonfun$apply$4.apply(basicOperators.scala:154)
org.apache.spark.rdd.RDD$$anonfun$12.apply(RDD.scala:559)
org.apache.spark.rdd.RDD$$anonfun$12.apply(RDD.scala:559)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
org.apache.spark.sql.SchemaRDD.compute(SchemaRDD.scala:110)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
org.apache.spark.scheduler.Task.run(Task.scala:51)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:744)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$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)
If I immediately re-run the query, it works fine. I’ve been able to
reproduce this a few times. If I run other, simpler SELECT queries first
and then this one, it also gets around the problem. Strange…
I’m on 1.0.0 on EC2.
Nick
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