Github user berngp commented on a diff in the pull request:

    https://github.com/apache/spark/pull/433#discussion_r11787690
  
    --- Diff: 
yarn/common/src/main/scala/org/apache/spark/deploy/yarn/ClientBase.scala ---
    @@ -361,55 +361,48 @@ object ClientBase {
       val LOG4J_CONF_ENV_KEY: String = "SPARK_LOG4J_CONF"
       val LOCAL_SCHEME = "local"
     
    -  // Based on code from org.apache.hadoop.mapreduce.v2.util.MRApps
    -  def populateHadoopClasspath(conf: Configuration, env: HashMap[String, 
String]) {
    -    val classpathEntries = Option(conf.getStrings(
    -      YarnConfiguration.YARN_APPLICATION_CLASSPATH)).getOrElse(
    -        getDefaultYarnApplicationClasspath())
    -    for (c <- classpathEntries) {
    -      YarnSparkHadoopUtil.addToEnvironment(env, 
Environment.CLASSPATH.name, c.trim,
    +  def populateHadoopClasspath(conf: Configuration, env: HashMap[String, 
String]) = {
    +    val classPathElementsToAdd = getYarnAppClasspath(conf) ++ 
getMRAppClasspath(conf)
    +    for (c <- classPathElementsToAdd.flatten) {
    +      YarnSparkHadoopUtil.addToEnvironment(
    +        env,
    +        Environment.CLASSPATH.name,
    +        c.trim,
             File.pathSeparator)
         }
    +    classPathElementsToAdd
    +  }
     
    -    val mrClasspathEntries = Option(conf.getStrings(
    -      "mapreduce.application.classpath")).getOrElse(
    -        getDefaultMRApplicationClasspath())
    -    if (mrClasspathEntries != null) {
    -      for (c <- mrClasspathEntries) {
    -        YarnSparkHadoopUtil.addToEnvironment(env, 
Environment.CLASSPATH.name, c.trim,
    -          File.pathSeparator)
    -      }
    +  private def getYarnAppClasspath(conf: Configuration): 
Option[Array[String]] =
    +    Option(conf.getStrings(YarnConfiguration.YARN_APPLICATION_CLASSPATH)) 
match {
    +      case s: Some[Array[String]] => s
    +      case None => getDefaultYarnApplicationClasspath
         }
    -  }
     
    -  def getDefaultYarnApplicationClasspath(): Array[String] = {
    -    try {
    -      val field = 
classOf[MRJobConfig].getField("DEFAULT_YARN_APPLICATION_CLASSPATH")
    -      field.get(null).asInstanceOf[Array[String]]
    -    } catch {
    -      case err: NoSuchFieldError => null
    -      case err: NoSuchFieldException => null
    +  private def getMRAppClasspath(conf: Configuration): 
Option[Array[String]] =
    +    Option(conf.getStrings("mapreduce.application.classpath")) match {
    +      case s: Some[Array[String]] => s
    +      case None => getDefaultMRApplicationClasspath
         }
    -  }
    +
    +  def getDefaultYarnApplicationClasspath: Option[Array[String]] = 
Try[Array[String]] {
    +    val field = 
classOf[YarnConfiguration].getField("DEFAULT_YARN_APPLICATION_CLASSPATH")
    +    field.get(null).asInstanceOf[Array[String]]
    +  }.toOption
     
       /**
        * In Hadoop 0.23, the MR application classpath comes with the YARN 
application
        * classpath.  In Hadoop 2.0, it's an array of Strings, and in 2.2+ it's 
a String.
        * So we need to use reflection to retrieve it.
        */
    -  def getDefaultMRApplicationClasspath(): Array[String] = {
    -    try {
    -      val field = 
classOf[MRJobConfig].getField("DEFAULT_MAPREDUCE_APPLICATION_CLASSPATH")
    -      if (field.getType == classOf[String]) {
    -        StringUtils.getStrings(field.get(null).asInstanceOf[String])
    -      } else {
    -        field.get(null).asInstanceOf[Array[String]]
    -      }
    -    } catch {
    -      case err: NoSuchFieldError => null
    -      case err: NoSuchFieldException => null
    +  def getDefaultMRApplicationClasspath: Option[Array[String]] = 
Try[Array[String]] {
    +    val field = 
classOf[MRJobConfig].getField("DEFAULT_MAPREDUCE_APPLICATION_CLASSPATH")
    +    if (field.getType == classOf[String]) {
    +      StringUtils.getStrings(field.get(null).asInstanceOf[String]).toArray
    +    } else {
    +      field.get(null).asInstanceOf[Array[String]]
         }
    -  }
    +  }.toOption
    --- End diff --
    
    I will still Try to defend the argument that `Try` is a better option than 
just returning `null` or throwing an exception that we assume the author 
intended, which is not documented.
    
    The `Try` monad itself defines that:
        "only non-fatal exceptions are caught by the combinators on Try (see 
scala.util.control.NonFatal). Serious system errors, on the other hand, will be 
thrown."
    
    Assuming the intentions of the original author was to handle the `null` and 
_bubble_ up any other exception that wasn't caught by the `try-catch` control 
flow he was actually failing on the first one. To be honest I will bet that 
most likely the `try-catch` specifically was used to handle the compilation 
error flags due the usage of reflection. I know I am changing the _public_ API 
but do think that is for the best. 
    
    Ref:
    
(NonFatal)[http://www.scala-lang.org/api/2.10.3/index.html#scala.util.control.NonFatal$]
    (Try)[http://www.scala-lang.org/api/2.10.3/index.html#scala.util.Try]


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