nealrichardson commented on a change in pull request #11143:
URL: https://github.com/apache/arrow/pull/11143#discussion_r709206829



##########
File path: r/R/dplyr-distinct.R
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@@ -0,0 +1,63 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# The following S3 methods are registered on load if dplyr is present
+
+distinct.arrow_dplyr_query <- function(.data, ..., .keep_all = FALSE) {
+  if (.keep_all == TRUE) {
+    # After ARROW-13993 is merged, we can implement this
+    arrow_not_supported("`distinct()` with `.keep_all = TRUE`")
+  }
+
+  distinct_groups <- ensure_named_exprs(quos(...))

Review comment:
       I'd expect a function body something like this:
   
   ```
   .data <- dplyr::group_by(.data, ..., .add = TRUE)
   gv <- dplyr::group_vars(.data) # this is `names(.data$group_by_vars)`
   if (length(gv)) {
     # `data %>% group_by() %>% summarise()` returns cols in order supplied
     # but distinct() returns cols in dataset order, so sort group vars
     vars_in_data <- names(.data)[names(.data) %in% gv]
     .data$group_by_vars <- c(
       .data$group_by_vars[vars_in_data], 
       .data$group_by_vars[!(gv %in% vars_in_data)]
     )
   } else {
     # distinct() with no vars specified means distinct across all cols
     .data <- dplyr::group_by(.data, !!!syms(names(.data)))
   }
   # TODO: use .groups = "keep" (ARROW-13550)
   dplyr::summarize(.data)
   ```
   
   IIUC the only specialness about distinct() over group_by() %>% summarize() 
is the order of columns and the meaning of 0 groups. If that's true then we 
should delegate the rest of the work to group_by and summarize.




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