Hi Mathieu, Stratio is working on it, we have a solution running which accomplish our use case, could you share your use case with us?
Here you have video and slides of our work on this topic https://spark-summit.org/east-2017/events/kerberizing-spark/ Regards Abel. 2017-05-04 15:01 GMT+02:00 Saisai Shao <sai.sai.s...@gmail.com>: > 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-imperso >> nation-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 >> >> >
