Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/16689#discussion_r97508643
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1136,9 +1136,17 @@ setMethod("collect",
# Note that "binary" columns behave like complex types.
if (!is.null(PRIMITIVE_TYPES[[colType]]) && colType !=
"binary") {
- vec <- do.call(c, col)
+ valueIndex <- which(!is.na(col))
+ if (length(valueIndex) > 0 && valueIndex[1] > 1) {
+ colTail <- col[-(1 : (valueIndex[1] - 1))]
+ vec <- do.call(c, colTail)
+ classVal <- class(vec)
+ vec <- c(rep(NA, valueIndex[1] - 1), vec)
+ class(vec) <- classVal
--- End diff --
Hmm, what happened here?
if you want to drop the NA and use the rest to infer the class you can do
`col[!is.na(col)]`
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