Github user sun-rui commented on a diff in the pull request: https://github.com/apache/spark/pull/11318#discussion_r55830076 --- Diff: R/pkg/R/DataFrame.R --- @@ -1217,29 +1217,38 @@ setMethod("[[", signature(x = "DataFrame", i = "numericOrcharacter"), #' @rdname subset #' @name [ -setMethod("[", signature(x = "DataFrame", i = "missing"), - function(x, i, j, ...) { - if (is.numeric(j)) { - cols <- columns(x) - j <- cols[j] - } - if (length(j) > 1) { - j <- as.list(j) +setMethod("[", signature(x = "DataFrame"), + function(x, i, j, ..., drop=T) { + # Perform filtering first if needed --- End diff -- Maybe for Spark 2.0 we can sacrifice some backwards compatibility and have the R user convenience as long term benefit?
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