Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/102#discussion_r10505297
--- Diff:
yarn/common/src/main/scala/org/apache/spark/deploy/yarn/ClientBase.scala ---
@@ -379,9 +381,48 @@ object ClientBase {
// Based on code from org.apache.hadoop.mapreduce.v2.util.MRApps
def populateHadoopClasspath(conf: Configuration, env: HashMap[String,
String]) {
- for (c <-
conf.getStrings(YarnConfiguration.YARN_APPLICATION_CLASSPATH)) {
+ val classpathEntries = Option(conf.getStrings(
+ YarnConfiguration.YARN_APPLICATION_CLASSPATH)).getOrElse(
+ getDefaultYarnApplicationClasspath())
+ for (c <- classpathEntries) {
Apps.addToEnvironment(env, Environment.CLASSPATH.name, c.trim)
}
+
+ val mrClasspathEntries = Option(conf.getStrings(
+ "mapreduce.application.classpath")).getOrElse(
+ getDefaultMRApplicationClasspath())
+ if (mrClasspathEntries != null) {
+ for (c <- mrClasspathEntries) {
+ Apps.addToEnvironment(env, Environment.CLASSPATH.name, c.trim)
+ }
+ }
+ }
+
+ def getDefaultYarnApplicationClasspath(): Array[String] = {
+ try {
+ val field =
classOf[MRJobConfig].getField("DEFAULT_YARN_APPLICATION_CLASSPATH")
--- End diff --
Unfortunately, the alpha/stable distinction doesn't fully capture the
differences here because the APIs are different between the 0.23 Hadoop line
and the 2.0 line, both of which fall under yarn-alpha. The comment above
getMapReduceApplicationClasspath explains the differences between 0.23, 2.0,
and 2.2.
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