[
https://issues.apache.org/jira/browse/SPARK-2723?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14077419#comment-14077419
]
Patrick Wendell commented on SPARK-2723:
----------------------------------------
I think blacklisting directories is a good idea. In large clusters it's common
to have a crappy disk, Spark doesn't handle that very well right now.
> Block Manager should catch exceptions in putValues
> --------------------------------------------------
>
> Key: SPARK-2723
> URL: https://issues.apache.org/jira/browse/SPARK-2723
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.0.0
> Reporter: Shivaram Venkataraman
>
> The BlockManager should catch exceptions encountered while writing out files
> to disk. Right now these exceptions get counted as user-level task failures
> and the job is aborted after failing 4 times. We should either fail the
> executor or handle this better to prevent the job from dying.
> I ran into an issue where one disk on a large EC2 cluster failed and this
> resulted in a long running job terminating. Longer term, we should also look
> at black-listing local directories when one of them become unusable ?
> Exception pasted below:
> 14/07/29 00:55:39 WARN scheduler.TaskSetManager: Loss was due to
> java.io.FileNotFoundException
> java.io.FileNotFoundException:
> /mnt2/spark/spark-local-20140728175256-e7cb/28/broadcast_264_piece20
> (Input/output error)
> at java.io.FileOutputStream.open(Native Method)
> at java.io.FileOutputStream.<init>(FileOutputStream.java:221)
> at java.io.FileOutputStream.<init>(FileOutputStream.java:171)
> at org.apache.spark.storage.DiskStore.putValues(DiskStore.scala:79)
> at org.apache.spark.storage.DiskStore.putValues(DiskStore.scala:66)
> at
> org.apache.spark.storage.BlockManager.dropFromMemory(BlockManager.scala:847)
> at
> org.apache.spark.storage.MemoryStore$$anonfun$ensureFreeSpace$4.apply(MemoryStore.scala:267)
> at
> org.apache.spark.storage.MemoryStore$$anonfun$ensureFreeSpace$4.apply(MemoryStore.scala:256)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> org.apache.spark.storage.MemoryStore.ensureFreeSpace(MemoryStore.scala:256)
> at
> org.apache.spark.storage.MemoryStore.tryToPut(MemoryStore.scala:179)
> at
> org.apache.spark.storage.MemoryStore.putValues(MemoryStore.scala:76)
> at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:663)
> at org.apache.spark.storage.BlockManager.put(BlockManager.scala:574)
> at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:108)
--
This message was sent by Atlassian JIRA
(v6.2#6252)
