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https://issues.apache.org/jira/browse/SPARK-10924?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-10924.
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Resolution: Cannot Reproduce
Thank you so much for checking this. Let me then resolve this as {{Cannot
Reproduce}} for now.
> Failed to update accumulators for ShuffleMapTask: Broken pipe
> -------------------------------------------------------------
>
> Key: SPARK-10924
> URL: https://issues.apache.org/jira/browse/SPARK-10924
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Shuffle
> Affects Versions: 1.3.1
> Environment: Centos 6.7, HDP 2.2
> Reporter: Pau Tallada Crespí
> Priority: Minor
>
> When running Spark jobs, this error appears many times on the output, but the
> job keeps running and produces results.
> I've found similar bug which display similar error messages, but none of them
> say "Broken pipe".
> 15/10/05 11:05:37 ERROR DAGScheduler: Failed to update accumulators for
> ShuffleMapTask(49, 29)
> java.net.SocketException: Broken pipe
> at java.net.SocketOutputStream.socketWrite0(Native Method)
> at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:113)
> at java.net.SocketOutputStream.write(SocketOutputStream.java:159)
> at
> java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82)
> at java.io.BufferedOutputStream.flush(BufferedOutputStream.java:140)
> at java.io.DataOutputStream.flush(DataOutputStream.java:123)
> at
> org.apache.spark.api.python.PythonAccumulatorParam.addInPlace(PythonRDD.scala:827)
> at
> org.apache.spark.api.python.PythonAccumulatorParam.addInPlace(PythonRDD.scala:789)
> at org.apache.spark.Accumulable.$plus$plus$eq(Accumulators.scala:81)
> at
> org.apache.spark.Accumulators$$anonfun$add$2.apply(Accumulators.scala:323)
> at
> org.apache.spark.Accumulators$$anonfun$add$2.apply(Accumulators.scala:321)
> at
> scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
> at
> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
> at
> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
> at
> scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
> at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
> at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
> at
> scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
> at org.apache.spark.Accumulators$.add(Accumulators.scala:321)
> at
> org.apache.spark.scheduler.DAGScheduler.updateAccumulators(DAGScheduler.scala:890)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:974)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1390)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
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