Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/16510#discussion_r95515567
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1727,14 +1727,21 @@ setMethod("$", signature(x = "SparkDataFrame"),
getColumn(x, name)
})
-#' @param value a Column or \code{NULL}. If \code{NULL}, the specified
Column is dropped.
+#' @param value a Column or an atomic vector in the length of 1 as literal
value, or \code{NULL}.
+#' If \code{NULL}, the specified Column is dropped.
#' @rdname select
#' @name $<-
#' @aliases $<-,SparkDataFrame-method
#' @note $<- since 1.4.0
setMethod("$<-", signature(x = "SparkDataFrame"),
function(x, name, value) {
- stopifnot(class(value) == "Column" || is.null(value))
+ if (class(value) != "Column" && !is.null(value)) {
+ if (isAtomicLengthOne(value)) {
+ value <- lit(value)
+ } else {
+ stop("value must be a Column, Literal value as atomic in
length of 1, or NULL")
--- End diff --
I was thinking org.apache.spark.sql.catalyst.expressions.Literal as the
type, but I guess i can use the lower case term too
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