Current Spark doesn't support impersonate different users at run-time. Current Spark's proxy user is application level, which means when setting through --proxy-user the whole application will be running with that user.
On Thu, May 4, 2017 at 5:13 PM, matd <matd...@gmail.com> wrote: > 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 > >
