[SPARK-18823][SPARKR] add support for assigning to column

## What changes were proposed in this pull request?

Support for
```
df[[myname]] <- 1
df[[2]] <- df$eruptions
```

## How was this patch tested?

manual tests, unit tests

Author: Felix Cheung <felixcheung_m@hotmail.com>

Closes #16663 from felixcheung/rcolset.

(cherry picked from commit f27e024)
Signed-off-by: Felix Cheung <felixcheung@apache.org>

Author: felixcheung

R/pkg/R/DataFrame.R

@@ -1711,6 +1711,23 @@ getColumn <- function(x, c) {
   column(callJMethod(x@sdf, "col", c))
 }
 
+setColumn <- function(x, c, 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")
+    }
+  }
+
+  if (is.null(value)) {
+    nx <- drop(x, c)
+  } else {
+    nx <- withColumn(x, c, value)
+  }
+  nx
+}
+
 #' @param name name of a Column (without being wrapped by \code{""}).
 #' @rdname select
 #' @name $
@@ -1729,19 +1746,7 @@ setMethod("$", signature(x = "SparkDataFrame"),
 #' @note $<- since 1.4.0
 setMethod("$<-", signature(x = "SparkDataFrame"),
           function(x, name, 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")
-              }
-            }
-
-            if (is.null(value)) {
-              nx <- drop(x, name)
-            } else {
-              nx <- withColumn(x, name, value)
-            }
+            nx <- setColumn(x, name, value)
             x@sdf <- nx@sdf
             x
           })
@@ -1761,6 +1766,21 @@ setMethod("[[", signature(x = "SparkDataFrame", i = "numericOrcharacter"),
             getColumn(x, i)
           })
 
+#' @rdname subset
+#' @name [[<-
+#' @aliases [[<-,SparkDataFrame,numericOrcharacter-method
+#' @note [[<- since 2.1.1
+setMethod("[[<-", signature(x = "SparkDataFrame", i = "numericOrcharacter"),
+          function(x, i, value) {
+            if (is.numeric(i)) {
+              cols <- columns(x)
+              i <- cols[[i]]
+            }
+            nx <- setColumn(x, i, value)
+            x@sdf <- nx@sdf
+            x
+          })
+
 #' @rdname subset
 #' @name [
 #' @aliases [,SparkDataFrame-method
@@ -1808,6 +1828,8 @@ setMethod("[", signature(x = "SparkDataFrame"),
 #' @param j,select expression for the single Column or a list of columns to select from the SparkDataFrame.
 #' @param drop if TRUE, a Column will be returned if the resulting dataset has only one column.
 #'             Otherwise, a SparkDataFrame will always be returned.
+#' @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.
 #' @param ... currently not used.
 #' @return A new SparkDataFrame containing only the rows that meet the condition with selected columns.
 #' @export

R/pkg/inst/tests/testthat/test_sparkSQL.R

@@ -1021,6 +1021,9 @@ test_that("select operators", {
   df$age2 <- df$age * 2
   expect_equal(columns(df), c("name", "age", "age2"))
   expect_equal(count(where(df, df$age2 == df$age * 2)), 2)
+  df$age2 <- df[["age"]] * 3
+  expect_equal(columns(df), c("name", "age", "age2"))
+  expect_equal(count(where(df, df$age2 == df$age * 3)), 2)
 
   df$age2 <- 21
   expect_equal(columns(df), c("name", "age", "age2"))
@@ -1033,6 +1036,23 @@ test_that("select operators", {
   expect_error(df$age3 <- c(22, NA),
               "value must be a Column, literal value as atomic in length of 1, or NULL")
 
+  df[["age2"]] <- 23
+  expect_equal(columns(df), c("name", "age", "age2"))
+  expect_equal(count(where(df, df$age2 == 23)), 3)
+
+  df[[3]] <- 24
+  expect_equal(columns(df), c("name", "age", "age2"))
+  expect_equal(count(where(df, df$age2 == 24)), 3)
+
+  df[[3]] <- df$age
+  expect_equal(count(where(df, df$age2 == df$age)), 2)
+
+  df[["age2"]] <- df[["name"]]
+  expect_equal(count(where(df, df$age2 == df$name)), 3)
+
+  expect_error(df[["age3"]] <- c(22, 23),
+              "value must be a Column, literal value as atomic in length of 1, or NULL")
+
   # Test parameter drop
   expect_equal(class(df[, 1]) == "SparkDataFrame", T)
   expect_equal(class(df[, 1, drop = T]) == "Column", T)