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From "Brendan Dwyer (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (SPARK-18817) Ensure nothing is written outside R's tempdir() by default
Date Fri, 16 Dec 2016 01:45:58 GMT

    [ https://issues.apache.org/jira/browse/SPARK-18817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15753093#comment-15753093
] 

Brendan Dwyer edited comment on SPARK-18817 at 12/16/16 1:45 AM:
-----------------------------------------------------------------

I'm not sure the CRAN people would be okay with that. It might be enough to pass any automatic
testing they have but it would still be against their policies.

{quote}
Limited exceptions may be allowed in interactive sessions if the package *obtains confirmation
from the user*.
{quote}


was (Author: bdwyer):
I'm not sure the CRAN people would be okay with that. It might be enough to pass any automatic
testing they have but it would still be against their policies.

> Ensure nothing is written outside R's tempdir() by default
> ----------------------------------------------------------
>
>                 Key: SPARK-18817
>                 URL: https://issues.apache.org/jira/browse/SPARK-18817
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SparkR
>            Reporter: Brendan Dwyer
>            Priority: Critical
>
> Per CRAN policies
> https://cran.r-project.org/web/packages/policies.html
> {quote}
> - Packages should not write in the users’ home filespace, nor anywhere else on the
file system apart from the R session’s temporary directory (or during installation in the
location pointed to by TMPDIR: and such usage should be cleaned up). Installing into the system’s
R installation (e.g., scripts to its bin directory) is not allowed.
> Limited exceptions may be allowed in interactive sessions if the package obtains confirmation
from the user.
> - Packages should not modify the global environment (user’s workspace).
> {quote}
> Currently "spark-warehouse" gets created in the working directory when sparkR.session()
is called.



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