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From felixcheung <...@git.apache.org>
Subject [GitHub] spark pull request #17783: [SPARK-20490][SPARKR][WIP] Add R wrappers for eqN...
Date Thu, 27 Apr 2017 17:19:52 GMT
Github user felixcheung commented on a diff in the pull request:

    https://github.com/apache/spark/pull/17783#discussion_r113754078
  
    --- 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("!",
    --- End diff --
    
    does this not conflict with any existing R operator?


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