Hi, is there a way to impersonate multiple users using the same SparkContext (e.g. like this https://hadoop.apache.org/docs/r2.7.2/hadoop-project-dist/hadoop-common/Superusers.html) when going through the Spark API?
What I'd like to do is that 1) submit a long running Spark yarn-client application using a Hadoop superuser (e.g. "super") 2) impersonate different users with "super" when reading/writing restricted HDFS files using the Spark API I know about the --proxy-user flag but its effect is fixed within a spark-submit. I looked at the code and it seems the username is determined by the SPARK_USER env var first (which seems to be always set) and then the UserGroupInformation. https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/Utils.scala#L2247 What I'd like I guess is the UserGroupInformation to take priority. Is there a way to make this work? Thank you! -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Impersonate-users-using-the-same-SparkContext-tp27735.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
