You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2016/09/19 04:48:20 UTC
[jira] [Updated] (SPARK-17577) SparkR support add files to Spark
job and get by executors
[ https://issues.apache.org/jira/browse/SPARK-17577?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yanbo Liang updated SPARK-17577:
--------------------------------
Description:
Scala/Python users can add files to Spark job by submit options {{--files}} or {{SparkContext.addFile()}}. Meanwhile, users can get the added file by {{SparkFiles.get(filename)}}.
We should also support this function for SparkR users, since SparkR users should can use shared files for each executors. For examples, SparkR users can download third party R packages to driver firstly, add these files to the Spark job by this API and then each executor can install these packages by {{install.packages}}.
was:
Scala/Python users can add files to Spark job by submit options {{--files}} or {{SparkContext.addFile()}}. Meanwhile, users can get the added file by {{SparkFiles.get(filename)}}.
We should also support this function for SparkR users, since SparkR users may install third party R packages on each executors. For examples, SparkR users can download third party R packages to driver firstly, add these files to the Spark job by this API and each executor can install these packages by {{install.packages}}.
> SparkR support add files to Spark job and get by executors
> ----------------------------------------------------------
>
> Key: SPARK-17577
> URL: https://issues.apache.org/jira/browse/SPARK-17577
> Project: Spark
> Issue Type: Improvement
> Components: SparkR
> Reporter: Yanbo Liang
>
> Scala/Python users can add files to Spark job by submit options {{--files}} or {{SparkContext.addFile()}}. Meanwhile, users can get the added file by {{SparkFiles.get(filename)}}.
> We should also support this function for SparkR users, since SparkR users should can use shared files for each executors. For examples, SparkR users can download third party R packages to driver firstly, add these files to the Spark job by this API and then each executor can install these packages by {{install.packages}}.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org