eitsupi commented on code in PR #14175:
URL: https://github.com/apache/arrow/pull/14175#discussion_r975560514
##########
r/R/dplyr-collect.R:
##########
@@ -60,20 +62,23 @@ restore_dplyr_features <- function(df, query) {
# An arrow_dplyr_query holds some attributes that Arrow doesn't know about
# After calling collect(), make sure these features are carried over
- if (length(query$group_by_vars) > 0) {
+ if (is.data.frame(df)) {
# Preserve groupings, if present
- if (is.data.frame(df)) {
+ if (length(query$group_by_vars) > 0) {
df <- dplyr::grouped_df(
df,
dplyr::group_vars(query),
drop = dplyr::group_by_drop_default(query)
)
+ }
+ } else {
+ # This is a Table, via compute() or collect(as_data_frame = FALSE)
+ if (length(query$group_by_vars) > 0) {
+ gv <- query$group_by_vars
} else {
- # This is a Table, via compute() or collect(as_data_frame = FALSE)
- df <- as_adq(df)
- df$group_by_vars <- query$group_by_vars
- df$drop_empty_groups <- query$drop_empty_groups
+ gv <- NULL
Review Comment:
Perhaps `restore_dplyr_features` should make sure that `df` is not grouped.
If it is guaranteed that `df` is not grouped, this case will be unnecessary.
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