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https://issues.apache.org/jira/browse/SPARK-6313?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14362605#comment-14362605
]
Nathan McCarthy commented on SPARK-6313:
----------------------------------------
Stacktrace;
14/12/12 18:18:24 WARN scheduler.TaskSetManager: Lost task 7.0 in stage 0.0
(TID 8, hadoop-016): java.io.IOException: Permission denied
at sun.nio.ch.FileDispatcherImpl.lock0(Native Method)
at sun.nio.ch.FileDispatcherImpl.lock(FileDispatcherImpl.java:91)
at sun.nio.ch.FileChannelImpl.lock(FileChannelImpl.java:1022)
at java.nio.channels.FileChannel.lock(FileChannel.java:1052)
at org.apache.spark.util.Utils$.fetchFile(Utils.scala:379)
at
org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$6.apply(Executor.scala:350)
at
org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$6.apply(Executor.scala:347)
at
scala.collection.TraversableLike$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$$anonfun$foreach$1.apply(HashMap.scala:98)
at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
at
scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
at
org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:347)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
> Fetch File Lock file creation doesnt work when Spark working dir is on a NFS
> mount
> ----------------------------------------------------------------------------------
>
> Key: SPARK-6313
> URL: https://issues.apache.org/jira/browse/SPARK-6313
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.2.0, 1.3.0, 1.2.1
> Reporter: Nathan McCarthy
> Priority: Critical
>
> When running in cluster mode and mounting the spark work dir on a NFS volume
> (or some volume which doesn't support file locking), the fetchFile (used for
> downloading JARs etc on the executors) method in Spark Utils class will fail.
> This file locking was introduced as an improvement with SPARK-2713.
> See
> https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/Utils.scala#L415
>
> Introduced in 1.2 in commit;
> https://github.com/apache/spark/commit/7aacb7bfad4ec73fd8f18555c72ef696
> As this locking is for optimisation for fetching files, could we take a
> different approach here to create a temp/advisory lock file?
> Typically you would just mount local disks (in say ext4 format) and provide
> this as a comma separated list however we are trying to run Spark on MapR.
> With MapR we can do a loop back mount to a volume on the local node and take
> advantage of MapRs disk pools. This also means we dont need specific mounts
> for Spark and improves the generic nature of the cluster.
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