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Posted to issues@spark.apache.org by "kay feng (JIRA)" <ji...@apache.org> on 2014/09/01 10:29:21 UTC

[jira] [Created] (SPARK-3336) [Spark SQL] In pyspark, cannot group by field on UDF

kay feng created SPARK-3336:
-------------------------------

             Summary: [Spark SQL] In pyspark, cannot group by field on UDF
                 Key: SPARK-3336
                 URL: https://issues.apache.org/jira/browse/SPARK-3336
             Project: Spark
          Issue Type: Bug
          Components: PySpark, SQL
    Affects Versions: 1.1.0
            Reporter: kay feng


Running pyspark on a spark cluster with standalone master.
Cannot group by field on a UDF. But we can group by UDF in Scala.

For example:
q = sqlContext.sql('SELECT COUNT(*), MYUDF(foo)  FROM bar GROUP BY MYUDF(foo)')
out = q.collect()

I got this exception:
Py4JJavaError: An error occurred while calling o183.collect.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 26 in stage 56.0 failed 4 times, most recent failure: Lost task 26.3 in stage 56.0 (TID 14038, ip-10-33-9-144.us-west-2.compute.internal): org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Binding attribute, tree: pythonUDF#1278
        org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:47)
        org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:43)
        org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:42)
        org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:165)
        org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:183)
        scala.collection.Iterator$$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$class.toArray(TraversableOnce.scala:252)
        scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
        org.apache.spark.sql.catalyst.trees.TreeNode.transformChildrenDown(TreeNode.scala:212)
        org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:168)
        org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:156)
        org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:42)
        org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:52)
        org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:52)
        scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        scala.collection.immutable.List.foreach(List.scala:318)
        scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
        scala.collection.AbstractTraversable.map(Traversable.scala:105)
        org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.<init>(Projection.scala:52)
        org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$7$$anon$1.<init>(Aggregate.scala:176)
        org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$7.apply(Aggregate.scala:172)
        org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$7.apply(Aggregate.scala:151)
        org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
        org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
        org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
        org.apache.spark.sql.SchemaRDD.compute(SchemaRDD.scala:115)
        org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
        org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
        org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
        org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
        org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
        org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
        org.apache.spark.scheduler.Task.run(Task.scala:54)
        org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)
        java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1173)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)
	at scala.Option.foreach(Option.scala:236)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:688)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1391)
	at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
	at akka.actor.ActorCell.invoke(ActorCell.scala:456)
	at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
	at akka.dispatch.Mailbox.run(Mailbox.scala:219)
	at akka.dispatch.ForkJoinExecutorConfigurator$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)





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