Github user steveloughran commented on a diff in the pull request:
https://github.com/apache/spark/pull/14659#discussion_r76952473
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2418,6 +2418,18 @@ private[spark] object Utils extends Logging {
sparkJars.map(_.split(",")).map(_.filter(_.nonEmpty)).toSeq.flatten
}
}
+
+ def setCallerContext(context: String): Unit = {
--- End diff --
If this is set to return a Boolean on success, you could have a unit test
which asserts that when called on a version of Hadoop with the resource
`/org/apache/hadoop/ipcCallerContext.class`, that it returned true. That way
you could assert that "on a version of Hadoop with a caller context, this code
sets it". That will help catch any regressions in the Hadoop code breaking this
reflection stuff.
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