Github user witgo commented on the pull request:
https://github.com/apache/spark/pull/1387#issuecomment-48985219
I agree with your point.
But when a memory overflow exception is thrown .Error is the Spark given:
```
org.apache.spark.SparkException: Job aborted due to stage failure: Task
9.1:0 failed 4 times, most recent failure: Exception failure in TID 969 on host
10dian73.domain.test: java.io.FileNotFoundException:
/yarn/nm/usercache/spark/appcache/application_1404728465401_0070/spark-local-20140715103235-ffda/2e/merged_shuffle_4_85_0
(No such file or directory)
java.io.FileOutputStream.open(Native Method)
java.io.FileOutputStream.<init>(FileOutputStream.java:221)
org.apache.spark.storage.DiskBlockObjectWriter.open(BlockObjectWriter.scala:116)
org.apache.spark.storage.DiskBlockObjectWriter.write(BlockObjectWriter.scala:177)
org.apache.spark.shuffle.hash.HashShuffleWriter$$anonfun$write$1.apply(HashShuffleWriter.scala:59)
org.apache.spark.shuffle.hash.HashShuffleWriter$$anonfun$write$1.apply(HashShuffleWriter.scala:57)
scala.collection.Iterator$class.foreach(Iterator.scala:727)
scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
org.apache.spark.shuffle.hash.HashShuffleWriter.write(HashShuffleWriter.scala:57)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:147)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:97)
org.apache.spark.scheduler.Task.run(Task.scala:51)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:744)
```
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