[
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.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
