Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/14783#discussion_r77757807
--- Diff: R/pkg/R/utils.R ---
@@ -697,3 +697,18 @@ is_master_local <- function(master) {
is_sparkR_shell <- function() {
grepl(".*shell\\.R$", Sys.getenv("R_PROFILE_USER"), perl = TRUE)
}
+
+# rbind a list of rows with raw (binary) columns
+#
+# @param inputData a list of rows, with each row a list
+# @return data.frame with raw columns as lists
+rbindRaws <- function(inputData){
+ row1 <- inputData[[1]]
+ rawcolumns <- ("raw" == sapply(row1, class))
+
+ listmatrix <- do.call(rbind, inputData)
--- End diff --
Do you know what happens if we have a mixed set of columns here ? i.e. say
one column with "raw", one with "integer" and one with "character" -- From
reading some docs it looks like everything is converted to create a `character`
matrix when we use `rbind`.
I think we have two choices if thats the case
(a) we apply the type conversions after `rbind`
(b) we only call this method when all columns are `raw`
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