Github user zero323 commented on the issue:
https://github.com/apache/spark/pull/17807
What I like about masking is that is relatively explicit:
> library(SparkR)
Attaching package: âSparkRâ
The following objects are masked from âpackage:statsâ:
cov, filter, lag, na.omit, predict, sd, var, window
The following objects are masked from âpackage:baseâ:
as.data.frame, colnames, colnames<-, drop, endsWith, grouping,
intersect, rank, rbind, sample, startsWith, subset, summary,
transform, union
When we use generic tricks things get fuzzy. Like `drop` above. Is it
masked? Based on what I see above I would expect it is.
While `grouping` is probably of the least concern, I think this is actually
an important discussion.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
