[
https://issues.apache.org/jira/browse/SPARK-5250?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14277051#comment-14277051
]
Mojmir Vinkler commented on SPARK-5250:
---------------------------------------
Just tested with Scala and got the same error.
> EOFException in when reading gzipped files from S3 with wholeTextFiles
> ----------------------------------------------------------------------
>
> Key: SPARK-5250
> URL: https://issues.apache.org/jira/browse/SPARK-5250
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.2.0
> Reporter: Mojmir Vinkler
>
> I get an `EOFException` error when reading *some* gzipped files using
> `sc.wholeTextFiles`. It happens to just a few files, I thought that the file
> is corrupted, but I was able to read it without problems using `sc.textFile`
> (and pandas).
> Traceback for command
> `sc.wholeTextFiles('s3n://s3bucket/2525322021051.csv.gz').collect()`
> {code}
> ---------------------------------------------------------------------------
> Py4JJavaError Traceback (most recent call last)
> <ipython-input-104-943aab11de03> in <module>()
> ----> 1 sc.wholeTextFiles('s3n://s3bucket/2525322021051.csv.gz').collect()
> /home/ubuntu/databricks/spark/python/pyspark/rdd.py 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
> /home/ubuntu/databricks/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:
> /home/ubuntu/databricks/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 o1576.collect.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
> in stage 41.0 failed 4 times, most recent failure: Lost task 0.3 in stage
> 41.0 (TID 4720, ip-10-0-241-126.ec2.internal): java.io.EOFException:
> Unexpected end of input stream
> at
> org.apache.hadoop.io.compress.DecompressorStream.decompress(DecompressorStream.java:137)
> at
> org.apache.hadoop.io.compress.DecompressorStream.read(DecompressorStream.java:77)
> at java.io.InputStream.read(InputStream.java:101)
> at com.google.common.io.ByteStreams.copy(ByteStreams.java:207)
> at com.google.common.io.ByteStreams.toByteArray(ByteStreams.java:252)
> at
> org.apache.spark.input.WholeTextFileRecordReader.nextKeyValue(WholeTextFileRecordReader.scala:73)
> at
> org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReader.nextKeyValue(CombineFileRecordReader.java:69)
> at
> org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:145)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at
> org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at
> org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at
> org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at
> org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
> at org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:780)
> at org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:780)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1314)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1314)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> at org.apache.spark.scheduler.Task.run(Task.scala:56)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$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}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
