Hi folks, I have a Spark application executing various jobs for different users simultaneously, via several Spark sessions on several threads.
My customer would like to kerberize his hadoop cluster. I wonder if there is a way to configure impersonation such as each of these jobs would be ran with the different proxy users. From what I see in spark conf and code, it's not possible to do that at runtime for a specific context, but I'm not familiar with Kerberos nor with this part of Spark. Anyone can confirm/infirm this ? Mathieu (also on S.O http://stackoverflow.com/questions/43765044/kerberos-impersonation-of-a-spark-context-at-runtime) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Kerberos-impersonation-of-a-Spark-Context-at-runtime-tp28651.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
