Github user tdas commented on the pull request:

    https://github.com/apache/spark/pull/2538#issuecomment-58735252
  
    @davies unfortunately the last update to statebykey introduced some bug. 
Here is the error in jenkins logs.
    
    
    Traceback (most recent call last):
      File 
"/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/streaming/util.py",
 line 57, in call
        r = self.func(t, *rdds)
      File 
"/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/streaming/dstream.py",
 line 254, in saveAsTextFile
        rdd.saveAsTextFile(path)
      File 
"/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/rdd.py", line 
1267, in saveAsTextFile
        keyed._jrdd.map(self.ctx._jvm.BytesToString()).saveAsTextFile(path)
      File 
"/home/jenkins/workspace/SparkPullRequestBuilder@2/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
 line 538, in __call__
        self.target_id, self.name)
      File 
"/home/jenkins/workspace/SparkPullRequestBuilder@2/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py",
 line 300, in get_return_value
        format(target_id, '.', name), value)
    Py4JJavaError: An error occurred while calling o62024.saveAsTextFile.
    : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 
in stage 296848.0 failed 1 times, most recent failure: Lost task 0.0 in stage 
296848.0 (TID 780, localhost): org.apache.spark.api.python.PythonException: 
Traceback (most recent call last):
      File "pyspark/worker.py", line 109, in main
        process()
      File "pyspark/worker.py", line 100, in process
        serializer.dump_stream(func(split_index, iterator), outfile)
      File "pyspark/serializers.py", line 234, in dump_stream
        vs = list(itertools.islice(iterator, batch))
      File 
"/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/rdd.py", line 
1641, in <lambda>
        map_values_fn = lambda (k, v): (k, f(v))
      File 
"/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/streaming/dstream.py",
 line 579, in <lambda>
        state = g.mapValues(lambda (vs, s): updateFunc(vs, s))
    TypeError: updater() takes exactly 1 argument (2 given)
    
            
org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:135)
            
org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:166)
            org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:94)
            org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
            org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
            
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:235)
            
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:196)
            
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:196)
            org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1321)
            
org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:195)
    Driver stacktrace:
        at 
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1191)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1180)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1179)
        at 
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at 
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1179)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:694)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:694)
        at scala.Option.foreach(Option.scala:236)
        at 
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:694)
        at 
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1397)
        at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
        at 
org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1352)
        at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
        at akka.actor.ActorCell.invoke(ActorCell.scala:487)
        at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
        at akka.dispatch.Mailbox.run(Mailbox.scala:220)
        at 
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
        at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
        at 
scala.concurrent.forkjoin.ForkJoinPool$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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