Github user olarayej commented on a diff in the pull request:
https://github.com/apache/spark/pull/8984#discussion_r41781355
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1880,4 +1880,46 @@ setMethod("as.data.frame",
stop(paste("Unused argument(s): ", paste(list(...),
collapse=", ")))
}
collect(x)
+ }
+)
+
+#' Returns the column types of a DataFrame.
+#'
+#' @name coltypes
+#' @title Get column types of a DataFrame
+#' @param x (DataFrame)
+#' @return value (character) A character vector with the column types of
the given DataFrame
+#' @rdname coltypes
+setMethod("coltypes",
+ signature(x = "DataFrame"),
+ function(x) {
+ # TODO: This may be moved as a global parameter
+ # These are the supported data types and how they map to
+ # R's data types
+ DATA_TYPES <- c("string"="character",
+ "long"="integer",
+ "tinyint"="integer",
+ "short"="integer",
+ "integer"="integer",
+ "byte"="integer",
+ "double"="numeric",
+ "float"="numeric",
+ "decimal"="numeric",
+ "boolean"="logical"
+ )
--- End diff --
@sun-rui For complex types (Array/Struct/Map), I can't think of any mapping
to R types. Therefore, as agreed with @felixcheung and @shivaram, these will
remain the same. For example:
Original column types: ["string", "boolean", "map..."]
Result of coltypes(): ["character", "logical", "map..."]
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