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Posted to issues@spark.apache.org by "Felix Cheung (JIRA)" <ji...@apache.org> on 2017/03/20 06:50:42 UTC

[jira] [Resolved] (SPARK-20020) SparkR should support checkpointing DataFrame

     [ https://issues.apache.org/jira/browse/SPARK-20020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Felix Cheung resolved SPARK-20020.
----------------------------------
          Resolution: Fixed
            Assignee: Felix Cheung
       Fix Version/s: 2.2.0
    Target Version/s: 2.2.0

> SparkR should support checkpointing DataFrame
> ---------------------------------------------
>
>                 Key: SPARK-20020
>                 URL: https://issues.apache.org/jira/browse/SPARK-20020
>             Project: Spark
>          Issue Type: Bug
>          Components: Documentation, SparkR
>    Affects Versions: 2.1.0
>            Reporter: Felix Cheung
>            Assignee: Felix Cheung
>             Fix For: 2.2.0
>
>
> As an user I want to be able to checkpoint DataFrame to run complex queries, iterative algorithms etc.



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