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https://issues.apache.org/jira/browse/SPARK-12232?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15048261#comment-15048261
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Sun Rui commented on SPARK-12232:
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+1 [~yanboliang]
Since we already have table(), we can change it to an S4 generic function,
change the original table() function into an S4 method on "jobj" class, and add
a new table() s4 method on "DataFrame".
If backward-compatibility is not a concern, we may consider rename table() to
something tableToDF(). But it seems that table() is not so common in the R base
package, I find no strong motivation for it.
> Consider exporting read.table in R
> ----------------------------------
>
> Key: SPARK-12232
> URL: https://issues.apache.org/jira/browse/SPARK-12232
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 1.5.2
> Reporter: Felix Cheung
> Priority: Minor
>
> Since we have read.df, read.json, read.parquet (some in pending PRs), we have
> table() and we should consider having read.table() for consistency and
> R-likeness.
> However, this conflicts with utils::read.table which returns a R data.frame.
> It seems neither table() or read.table() is desirable in this case.
> table: https://stat.ethz.ch/R-manual/R-devel/library/base/html/table.html
> read.table:
> https://stat.ethz.ch/R-manual/R-devel/library/utils/html/read.table.html
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