Github user felixcheung commented on a diff in the pull request: https://github.com/apache/spark/pull/17783#discussion_r113849285 --- Diff: R/pkg/R/column.R --- @@ -302,3 +301,65 @@ setMethod("otherwise", jc <- callJMethod(x@jc, "otherwise", value) column(jc) }) + +#' \%<=>\% +#' +#' Equality test that is safe for null values. +#' +#' Can be used, unlike standard equality operator, to perform null-safe joins. +#' Equivalent to Scala \code{Column.<=>} and \code{Column.eqNullSafe}. +#' +#' @param x a Column +#' @param value a value to compare +#' @rdname eq_null_safe +#' @name %<=>% +#' @aliases %<=>%,Column-method +#' @export +#' @examples +#' \dontrun{ +#' df1 <- createDataFrame(data.frame( +#' x = c(1, NA, 3, NA), y = c(2, 6, 3, NA) +#' )) +#' +#' head(select(df1, df1$x == df1$y, df1$x %<=>% df1$y)) +#' ## (x = y) (x <=> y) +#' ##1 FALSE FALSE +#' ##2 NA FALSE +#' ##3 TRUE TRUE +#' ##4 NA TRUE +#' +#' df2 <- createDataFrame(data.frame(y = c(3, NA))) +#' count(join(df1, df2, df1$y == df2$y)) +#' ## [1] 1 +#' +#' count(join(df1, df2, df1$y %<=>% df2$y)) +#' ## [1] 2 +#' } +#' @note \%<=>\% since 2.3.0 +setMethod("%<=>%", + signature(x = "Column", value = "ANY"), + function(x, value) { + value <- if (class(value) == "Column") { value@jc } else { value } + jc <- callJMethod(x@jc, "eqNullSafe", value) + column(jc) + }) + +#' ! +#' +#' @rdname not +#' @aliases !,Column-method +#' @export +#' @examples +#' \dontrun{ +#' df <- createDataFrame(data.frame(x = c(-1, 0, 1))) +#' +#' head(select(df, !column("x") > 0)) +#' ## (NOT (x > 0.0)) +#' ##1 TRUE +#' ##2 TRUE +#' ##3 FALSE +#' } +#' @note ! since 2.3.0 +setMethod("!", + signature(x = "Column"), + function(x) not(x)) --- End diff -- maybe this should be single line? ``` setMethod("!", signature(x = "Column"), function(x) not(x)) ```
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