Github user zhzhan commented on the pull request:
https://github.com/apache/spark/pull/4683#issuecomment-75124964
@srowen Yarn timeline is in alpha phase, but hadoop is embracing it as it
provides a lot of extra functionalities. I will upload the patch and design
doc to the JIRA. Before that, can you provide some clarification on alpha
features in spark?
In hadoop, AFAIK such features will be disabled by default and user can
enable it if they want to try it. In spark, how to handle those alpha features
that people may be interested in and want to play with it?
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