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Erik Erlandson edited comment on SPARK-24434 at 6/1/18 5:53 PM: ---------------------------------------------------------------- My current take on UX around this feature is that there's not much precedent from the Spark world. Assuming I'm right about that it's more likely to be driven by what expectations Kubernetes users have. In my experience that is along the lines of "pointing at a yaml file," but maybe there's more variety of user workflows than I think. JSON definitely seems more amenable for including with command-line arguments. I have been assuming that if users were specifying pod configurations that they'd be somewhat larger pod sub-structures and not easy to supply embedded on a command line. Are "small" pod modifications also likely? was (Author: eje): My current take on UX around this feature is that there's not much precedent from the Spark world. Assuming I'm right about that it's more likely to be driven by what expectations Kubernetes users have. In my experience that is along the lines of "pointing at a yaml file," but maybe there's more variety of user workflows than I think. > Support user-specified driver and executor pod templates > -------------------------------------------------------- > > Key: SPARK-24434 > URL: https://issues.apache.org/jira/browse/SPARK-24434 > Project: Spark > Issue Type: New Feature > Components: Kubernetes > Affects Versions: 2.4.0 > Reporter: Yinan Li > Priority: Major > > With more requests for customizing the driver and executor pods coming, the > current approach of adding new Spark configuration options has some serious > drawbacks: 1) it means more Kubernetes specific configuration options to > maintain, and 2) it widens the gap between the declarative model used by > Kubernetes and the configuration model used by Spark. We should start > designing a solution that allows users to specify pod templates as central > places for all customization needs for the driver and executor pods. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org