Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/102#discussion_r10458903
--- Diff:
yarn/common/src/main/scala/org/apache/spark/deploy/yarn/ClientBase.scala ---
@@ -379,7 +381,17 @@ 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(
--- End diff --
It points to the location on machines in the cluster of the HDFS/YARN/MR
code. An admin might add a library like LZO to this, but users should instead
be using the distributed cache if there's a jar specific to their application
that they want.
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