[jira] [Resolved] (SPARK-3714) Spark workflow scheduler

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-3714?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-3714.
------------------------------
    Resolution: Won't Fix

> Spark workflow scheduler
> ------------------------
>
>                 Key: SPARK-3714
>                 URL: https://issues.apache.org/jira/browse/SPARK-3714
>             Project: Spark
>          Issue Type: New Feature
>          Components: Deploy, Scheduler
>            Reporter: Egor Pakhomov
>            Priority: Minor
>
> [Design doc | https://docs.google.com/document/d/1q2Q8Ux-6uAkH7wtLJpc3jz-GfrDEjlbWlXtf20hvguk/edit?usp=sharing]
> Spark stack currently hard to use in the production processes due to the lack of next features:
> * Scheduling spark jobs
> * Retrying failed spark job in big pipeline
> * Share context among jobs in pipeline
> * Queue jobs
> Typical usecase for such platform would be - wait for new data, process new data, learn ML models on new data, compare model with previous one, in case of success - rewrite model in HDFS directory for current production model with new one.



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