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Posted to issues@spark.apache.org by "Felix Cheung (JIRA)" <ji...@apache.org> on 2016/12/16 01:03:58 UTC
[jira] [Comment Edited] (SPARK-18817) Ensure nothing is written
outside R's tempdir() by default
[ https://issues.apache.org/jira/browse/SPARK-18817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15753041#comment-15753041 ]
Felix Cheung edited comment on SPARK-18817 at 12/16/16 1:03 AM:
----------------------------------------------------------------
we could, but we did ship 2.0 with it enabled by default though.
perhaps
{code}
sparkR.session <- function(
master = "",
appName = "SparkR",
sparkHome = Sys.getenv("SPARK_HOME"),
sparkConfig = list(),
sparkJars = "",
sparkPackages = "",
- enableHiveSupport = TRUE,
+ enableHiveSupport = !interactive()
...) {
{code}
as default?
shouldn't derby.log and metastore_db go to the warehouse.dir?
was (Author: felixcheung):
we could, but we did ship 2.0 with it enabled by default though.
perhaps
{code}
enableHiveSupport = !interactive()
{code}
as default?
shouldn't derby.log and metastore_db go to the warehouse.dir?
> 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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