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 infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org