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https://issues.apache.org/jira/browse/SPARK-12216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16745850#comment-16745850
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Kingsley Jones commented on SPARK-12216:
----------------------------------------
I don't know why I persist with posting anything on this issues thread when
nobody cares.
However, I did notice this. When testing the
{code:java}
pyspark {code}
shell the temp directory file cleanup seems to go smoothly.
The problem with this stuff is that nobody in Windows land can trust how deep
they have to go to determine if the whole spark engine is hopelessly broken or
it is just the reputation of the platform because of a weird REPL bug.
I suggest you look into the possibility that scala REPL is busted.
> Spark failed to delete temp directory
> --------------------------------------
>
> Key: SPARK-12216
> URL: https://issues.apache.org/jira/browse/SPARK-12216
> Project: Spark
> Issue Type: Bug
> Components: Spark Shell
> Environment: windows 7 64 bit
> Spark 1.52
> Java 1.8.0.65
> PATH includes:
> C:\Users\Stefan\spark-1.5.2-bin-hadoop2.6\bin
> C:\ProgramData\Oracle\Java\javapath
> C:\Users\Stefan\scala\bin
> SYSTEM variables set are:
> JAVA_HOME=C:\Program Files\Java\jre1.8.0_65
> HADOOP_HOME=C:\Users\Stefan\hadoop-2.6.0\bin
> (where the bin\winutils resides)
> both \tmp and \tmp\hive have permissions
> drwxrwxrwx as detected by winutils ls
> Reporter: stefan
> Priority: Minor
>
> The mailing list archives have no obvious solution to this:
> scala> :q
> Stopping spark context.
> 15/12/08 16:24:22 ERROR ShutdownHookManager: Exception while deleting Spark
> temp dir:
> C:\Users\Stefan\AppData\Local\Temp\spark-18f2a418-e02f-458b-8325-60642868fdff
> java.io.IOException: Failed to delete:
> C:\Users\Stefan\AppData\Local\Temp\spark-18f2a418-e02f-458b-8325-60642868fdff
> at org.apache.spark.util.Utils$.deleteRecursively(Utils.scala:884)
> at
> org.apache.spark.util.ShutdownHookManager$$anonfun$1$$anonfun$apply$mcV$sp$3.apply(ShutdownHookManager.scala:63)
> at
> org.apache.spark.util.ShutdownHookManager$$anonfun$1$$anonfun$apply$mcV$sp$3.apply(ShutdownHookManager.scala:60)
> at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
> at
> org.apache.spark.util.ShutdownHookManager$$anonfun$1.apply$mcV$sp(ShutdownHookManager.scala:60)
> at
> org.apache.spark.util.SparkShutdownHook.run(ShutdownHookManager.scala:264)
> at
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ShutdownHookManager.scala:234)
> at
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(ShutdownHookManager.scala:234)
> at
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(ShutdownHookManager.scala:234)
> at
> org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1699)
> at
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply$mcV$sp(ShutdownHookManager.scala:234)
> at
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(ShutdownHookManager.scala:234)
> at
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(ShutdownHookManager.scala:234)
> at scala.util.Try$.apply(Try.scala:161)
> at
> org.apache.spark.util.SparkShutdownHookManager.runAll(ShutdownHookManager.scala:234)
> at
> org.apache.spark.util.SparkShutdownHookManager$$anon$2.run(ShutdownHookManager.scala:216)
> at
> org.apache.hadoop.util.ShutdownHookManager$1.run(ShutdownHookManager.java:54)
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