[jira] [Commented] (SPARK-34033) SparkR Daemon Initialization

["Apache Spark (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-34033?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17260047#comment-17260047 ] 

Apache Spark commented on SPARK-34033:
--------------------------------------

User 'WamBamBoozle' has created a pull request for this issue:
https://github.com/apache/spark/pull/31072

> SparkR Daemon Initialization
> ----------------------------
>
>                 Key: SPARK-34033
>                 URL: https://issues.apache.org/jira/browse/SPARK-34033
>             Project: Spark
>          Issue Type: Improvement
>          Components: R, SparkR
>    Affects Versions: 3.2.0
>         Environment: tested on centos 7 & spark 2.3.1 and on my mac & spark at master
>            Reporter: Tom Howland
>            Priority: Major
>   Original Estimate: 0h
>  Remaining Estimate: 0h
>
> Provide a way for users to initialize the sparkR daemon before it forks.
> Described in detail in [docs/sparkr.md|https://github.com/WamBamBoozle/spark/blob/daemon_init/docs/sparkr.md#daemon-initialization]
> I'm a contractor to Target, where we have several projects doing ML with sparkR. The changes proposed here results in weeks of compute-time saved with every run.
> (40000 partitions) * (5 seconds to load our R libraries) * (2 calls to gapply in our app) / 60 / 60 = 111 hours.



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