[jira] [Assigned] (SPARK-13441) NullPointerException when either HADOOP_CONF_DIR or YARN_CONF_DIR is not readable

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-13441?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-13441:
------------------------------------

    Assignee:     (was: Apache Spark)

> NullPointerException when either HADOOP_CONF_DIR or YARN_CONF_DIR is not readable
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-13441
>                 URL: https://issues.apache.org/jira/browse/SPARK-13441
>             Project: Spark
>          Issue Type: Bug
>          Components: YARN
>    Affects Versions: 1.4.1, 1.5.1, 1.6.0
>            Reporter: Terence Yim
>
> NPE is throw from the yarn Client.scala because {{File.listFiles()}} can return null on directory that it doesn't have permission to list. This is the code fragment in question:
> {noformat}
> // In org/apache/spark/deploy/yarn/Client.scala
>     Seq("HADOOP_CONF_DIR", "YARN_CONF_DIR").foreach { envKey =>
>       sys.env.get(envKey).foreach { path =>
>         val dir = new File(path)
>         if (dir.isDirectory()) {
>           // dir.listFiles() can return null
>           dir.listFiles().foreach { file =>
>             if (file.isFile && !hadoopConfFiles.contains(file.getName())) {
>               hadoopConfFiles(file.getName()) = file
>             }
>           }
>         }
>       }
>     }
> {noformat}
> To reproduce, simply do:
> {noformat}
> sudo mkdir /tmp/conf
> sudo chmod 700 /tmp/conf
> export HADOOP_CONF_DIR=/etc/hadoop/conf
> export YARN_CONF_DIR=/tmp/conf
> spark-submit --master yarn-client SimpleApp.py
> {noformat}
> It fails on any Spark app. Though not important, the SimpleApp.py I used looks like this:
> {noformat}
> from pyspark import SparkContext
> sc = SparkContext(None, "Simple App")
> data = [1, 2, 3, 4, 5]
> distData = sc.parallelize(data)
> total = distData.reduce(lambda a, b: a + b)
> print("Total: %i" % total)
> {noformat}



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