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Posted to issues@spark.apache.org by "Josh Rosen (JIRA)" <ji...@apache.org> on 2014/12/17 21:23:13 UTC

[jira] [Resolved] (SPARK-4841) Batch serializer bug in PySpark's RDD.zip

     [ https://issues.apache.org/jira/browse/SPARK-4841?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Josh Rosen resolved SPARK-4841.
-------------------------------
          Resolution: Fixed
       Fix Version/s: 1.2.1
    Target Version/s:   (was: 1.2.1)

I've merged this into {{branch-1.2}}, so it will be included in Spark 1.2.1.  Since this was the last backport, I'm marking this as Fixed.


> Batch serializer bug in PySpark's RDD.zip
> -----------------------------------------
>
>                 Key: SPARK-4841
>                 URL: https://issues.apache.org/jira/browse/SPARK-4841
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.2.0
>            Reporter: Xiangrui Meng
>            Assignee: Davies Liu
>            Priority: Blocker
>             Fix For: 1.3.0, 1.2.1
>
>
> {code}
> t = sc.textFile("README.md")
> t.zip(t).count()
> {code}
> {code}
> Py4JJavaError                             Traceback (most recent call last)
> <ipython-input-6-60fdeb8339fd> in <module>()
> ----> 1 readme.zip(readme).count()
> /Users/meng/src/spark/python/pyspark/rdd.pyc in count(self)
>     817         3
>     818         """
> --> 819         return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
>     820
>     821     def stats(self):
> /Users/meng/src/spark/python/pyspark/rdd.pyc in sum(self)
>     808         6.0
>     809         """
> --> 810         return self.mapPartitions(lambda x: [sum(x)]).reduce(operator.add)
>     811
>     812     def count(self):
> /Users/meng/src/spark/python/pyspark/rdd.pyc in reduce(self, f)
>     713             yield reduce(f, iterator, initial)
>     714
> --> 715         vals = self.mapPartitions(func).collect()
>     716         if vals:
>     717             return reduce(f, vals)
> /Users/meng/src/spark/python/pyspark/rdd.pyc in collect(self)
>     674         """
>     675         with SCCallSiteSync(self.context) as css:
> --> 676             bytesInJava = self._jrdd.collect().iterator()
>     677         return list(self._collect_iterator_through_file(bytesInJava))
>     678
> /Users/meng/src/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py in __call__(self, *args)
>     536         answer = self.gateway_client.send_command(command)
>     537         return_value = get_return_value(answer, self.gateway_client,
> --> 538                 self.target_id, self.name)
>     539
>     540         for temp_arg in temp_args:
> /Users/meng/src/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
>     298                 raise Py4JJavaError(
>     299                     'An error occurred while calling {0}{1}{2}.\n'.
> --> 300                     format(target_id, '.', name), value)
>     301             else:
>     302                 raise Py4JError(
> Py4JJavaError: An error occurred while calling o69.collect.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 2, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
>   File "/Users/meng/src/spark/python/pyspark/worker.py", line 107, in main
>     process()
>   File "/Users/meng/src/spark/python/pyspark/worker.py", line 98, in process
>     serializer.dump_stream(func(split_index, iterator), outfile)
>   File "/Users/meng/src/spark/python/pyspark/serializers.py", line 198, in dump_stream
>     self.serializer.dump_stream(self._batched(iterator), stream)
>   File "/Users/meng/src/spark/python/pyspark/serializers.py", line 81, in dump_stream
>     raise NotImplementedError
> NotImplementedError
> 	at org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:137)
> 	at org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:174)
> 	at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:96)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
> 	at org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:88)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
> 	at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:242)
> 	at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
> 	at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
> 	at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1460)
> 	at org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:203)
> Driver stacktrace:
> 	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
> 	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> 	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> 	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
> 	at scala.Option.foreach(Option.scala:236)
> 	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
> 	at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
> 	at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
> 	at org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375)
> 	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)
> {code}



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