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: ‘SparkR’
        
        The following objects are masked from ‘package:stats’:
        
            cov, filter, lag, na.omit, predict, sd, var, window
        
        The following objects are masked from ‘package:base’:
        
            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.



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