[jira] [Resolved] (SPARK-17919) Make timeout to RBackend configurable in SparkR

["Felix Cheung (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17919?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Felix Cheung resolved SPARK-17919.
----------------------------------
    Resolution: Fixed
      Assignee: Hossein Falaki

> Make timeout to RBackend configurable in SparkR
> -----------------------------------------------
>
>                 Key: SPARK-17919
>                 URL: https://issues.apache.org/jira/browse/SPARK-17919
>             Project: Spark
>          Issue Type: Story
>          Components: SparkR
>    Affects Versions: 2.0.1
>            Reporter: Hossein Falaki
>            Assignee: Hossein Falaki
>
> I am working on a project where {{gapply()}} is being used with a large dataset that happens to be extremely skewed. On that skewed partition, the user function takes more than 2 hours to return and that turns out to be larger than the timeout that we hardcode in SparkR for backend connection.
> {code}
> connectBackend <- function(hostname, port, timeout = 6000) 
> {code}
> Ideally user should be able to reconfigure Spark and increase the timeout. It should be a small fix.



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