Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/18447#discussion_r124473417
--- Diff: R/pkg/R/functions.R ---
@@ -598,6 +598,25 @@ setMethod("hash",
column(jc)
})
+#' data_type
+#'
+#' Returns the data type of a given column.
+#'
+#' @param x Column to get the data type.
+#'
+#' @rdname data_type
+#' @name data_type
+#' @family misc functions
+#' @aliases data_type,Column-method
+#' @export
+#' @examples \dontrun{data_type(df$c)}
--- End diff --
In R, I think we could do this as below:
```r
> df <- createDataFrame(iris)
> lapply(schema(df)$fields(), function(s) { s$dataType.simpleString() })
[[1]]
[1] "double"
[[2]]
[1] "double"
[[3]]
[1] "double"
[[4]]
[1] "double"
[[5]]
[1] "string"
```
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