Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/9769#discussion_r46087941
--- Diff: R/pkg/R/DataFrame.R ---
@@ -700,25 +700,28 @@ setMethod("collect",
# data of complex type can be held. But getting a cell
from a column
# of list type returns a list instead of a vector. So for
columns of
# non-complex type, append them as vector.
+ #
+ # For columns of complex type, be careful to access them.
+ # Get a column of complex type returns a list.
+ # Get a cell from a column of complex type returns a list
instead of a vector.
col <- listCols[[colIndex]]
+ colName <- dtypes[[colIndex]][[1]]
if (length(col) <= 0) {
- df[[names[colIndex]]] <- col
+ df[[colName]] <- col
} else {
- # TODO: more robust check on column of primitive types
- vec <- do.call(c, col)
- if (class(vec) != "list") {
- df[[names[colIndex]]] <- vec
+ colType <- dtypes[[colIndex]][[2]]
+ if (!is.null(PRIMITIVE_TYPES[[colType]]) && colType !=
"binary") {
--- End diff --
Could you add a comment here as well ? Something like `NOTE: "binary"
columns behave like complex types`
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