Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3238#discussion_r21121349
--- Diff:
yarn/common/src/main/scala/org/apache/spark/deploy/yarn/ClientBase.scala ---
@@ -223,10 +224,42 @@ private[spark] trait ClientBase extends Logging {
}
}
}
+
if (cachedSecondaryJarLinks.nonEmpty) {
sparkConf.set(CONF_SPARK_YARN_SECONDARY_JARS,
cachedSecondaryJarLinks.mkString(","))
}
+ /**
+ * Do the same for datanucleus jars, if they exist in spark home. Find
all datanucleus-* jars,
+ * copy them to the remote fs, and add them to the class path.
--- End diff --
We should elaborate on why we need to do this. Without context I would be
totally confused why we need to treat these jars differently (and only in
cluster mode)
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