Github user vanzin commented on the issue: https://github.com/apache/spark/pull/17723 @mridulm the main argument for just dealing with Hadoop security is that it's been sufficient since the inception of Spark. I have never seen anyone ask for integration with any other type of system. Most of the non-Hadoop systems supported by Spark don't need this kind of functionality (e.g. S3 just uses secrets stored in configuration or a credential store - both of which are handled by the Hadoop libraries btw, not Spark). That being said, I think this whole discussion is distracting from the main goal of the change, which is to expose *Hadoop*-based security in Mesos-based applications. Would it make you more comfortable if the new API were kept `private[spark]`? It would limit extensibility in the case of Mesos (would be restricted to built-in providers), but would free us from this discussion and allow progress to happen. Really, personally, unless someone can given me a concrete example, I don't see a pressing need to have a lengthy discussion about non-Hadoop-based security frameworks.
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