mustafasrepo commented on code in PR #6904:
URL: https://github.com/apache/arrow-datafusion/pull/6904#discussion_r1260684595
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datafusion/physical-expr/src/aggregate/count.rs:
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@@ -76,6 +85,114 @@ impl Count {
}
}
+/// An accumulator to compute the counts of [`PrimitiveArray<T>`].
+/// Stores values as native types, and does overflow checking
+///
+/// Unlike most other accumulators, COUNT never produces NULLs. If no
+/// non-null values are seen in any group the output is 0. Thus, this
+/// accumulator has no additional null or seen filter tracking.
+#[derive(Debug)]
+struct CountGroupsAccumulator {
+ /// Count per group.
+ ///
+ /// Note this is an i64 and not a u64 (or usize) because the
+ /// output type of count is `DataType::Int64`. Thus by using `i64`
+ /// for the counts, the output [`Int64Array`] can be created
+ /// without copy.
+ counts: Vec<i64>,
+}
+
+impl CountGroupsAccumulator {
+ pub fn new() -> Self {
+ Self { counts: vec![] }
+ }
+}
+
+impl GroupsAccumulator for CountGroupsAccumulator {
+ fn update_batch(
+ &mut self,
+ values: &[ArrayRef],
+ group_indices: &[usize],
+ opt_filter: Option<&arrow_array::BooleanArray>,
+ total_num_groups: usize,
+ ) -> Result<()> {
+ assert_eq!(values.len(), 1, "single argument to update_batch");
+ let values = values.get(0).unwrap();
+
+ // Add one to each group's counter for each non null, non
+ // filtered value
+ self.counts.resize(total_num_groups, 0);
+ accumulate_indices(
+ group_indices,
+ values.nulls(), // ignore values
+ opt_filter,
+ |group_index| {
+ self.counts[group_index] += 1;
+ },
+ );
+
+ Ok(())
+ }
+
+ fn merge_batch(
+ &mut self,
+ values: &[ArrayRef],
+ group_indices: &[usize],
+ opt_filter: Option<&arrow_array::BooleanArray>,
+ total_num_groups: usize,
+ ) -> Result<()> {
+ assert_eq!(values.len(), 1, "one argument to merge_batch");
+ // first batch is counts, second is partial sums
+ let partial_counts =
values.get(0).unwrap().as_primitive::<Int64Type>();
Review Comment:
Similar to you can use values[0]
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