Github user ScrapCodes commented on the pull request:
https://github.com/apache/spark/pull/6848#issuecomment-211739456
IMO, this is useful in one way that hadoop configuration need not be a
global state. We can have a default set of configuration that we use everywhere
as a default. And then in every hadoop related method a user has an alternative
to override the default.
Binary compatibility will definitely be broken, but source compatibility
might not be affected i.e. one might need to recompile the project with newer
spark version. As it is asked already, it should be okay for 2.0 ?
@andrewor14 ping !
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