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From "Felix Cheung (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-17919) Make timeout to RBackend configurable in SparkR
Date Thu, 13 Oct 2016 22:57:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-17919?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15573469#comment-15573469
] 

Felix Cheung commented on SPARK-17919:
--------------------------------------

Earlier bug:
https://issues.apache.org/jira/browse/SPARK-12609


> 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
>
> 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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