ianmcook commented on a change in pull request #10992:
URL: https://github.com/apache/arrow/pull/10992#discussion_r695816039



##########
File path: r/R/query-engine.R
##########
@@ -42,11 +55,73 @@ ExecPlan <- R6Class("ExecPlan",
       }
       # ScanNode needs the filter to do predicate pushdown and skip partitions,
       # and it needs to know which fields to materialize (and which are 
unnecessary)
-      ExecNode_Scan(self, dataset, filter, colnames)
+      ExecNode_Scan(self, dataset, filter, colnames %||% character(0))
+    },
+    Build = function(.data) {
+      # This method takes an arrow_dplyr_query and chains together the
+      # ExecNodes that they produce. It does not evaluate them--that is Run().
+      group_vars <- dplyr::group_vars(.data)
+      grouped <- length(group_vars) > 0
+
+      # Collect the target names first because we have to add back the group 
vars
+      target_names <- names(.data)
+      .data <- ensure_group_vars(.data)
+      .data <- ensure_arrange_vars(.data) # this sets .data$temp_columns
+
+      node <- self$Scan(.data)
+      # ARROW-13498: Even though Scan takes the filter, apparently we have to 
do it again
+      if (inherits(.data$filtered_rows, "Expression")) {
+        node <- node$Filter(.data$filtered_rows)
+      }
+      # If any columns are derived we need to Project (otherwise this may be 
no-op)
+      node <- node$Project(c(.data$selected_columns, .data$temp_columns))
+
+      if (length(.data$aggregations)) {
+        if (grouped) {
+          # We need to prefix all of the aggregation function names with 
"hash_"
+          .data$aggregations <- lapply(.data$aggregations, function(x) {
+            x[["fun"]] <- paste0("hash_", x[["fun"]])
+            x
+          })
+        }
+
+        node <- node$Aggregate(
+          options = .data$aggregations,
+          target_names = target_names,
+          out_field_names = names(.data$aggregations),
+          key_names = group_vars
+        )
+
+        if (grouped) {
+          # The result will have result columns first then the grouping cols.
+          # dplyr orders group cols first, so adapt the result to meet that 
expectation.
+          node <- node$Project(
+            make_field_refs(c(group_vars, names(.data$aggregations)))
+          )
+          # Add sorting instructions for the rows too to match dplyr
+          # (see below about why sorting isn't itself a Node)
+          node$sort <- list(
+            names = group_vars,
+            orders = rep(0L, length(group_vars))
+          )
+        }
+      }
+
+      # Apply sorting: this is currently not an ExecNode itself, it is a
+      # sink node option.
+      # TODO: error if doing a subsequent operation that would throw away 
sorting!

Review comment:
       I think a warning would be more appropriate than an error




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