buraksenn commented on code in PR #20845:
URL: https://github.com/apache/datafusion/pull/20845#discussion_r2913693602
##########
datafusion/functions-aggregate/src/count.rs:
##########
@@ -365,31 +365,37 @@ impl AggregateUDFImpl for Count {
}
fn value_from_stats(&self, statistics_args: &StatisticsArgs) ->
Option<ScalarValue> {
+ let [expr] = statistics_args.exprs else {
+ return None;
+ };
+ let col_stats = &statistics_args.statistics.column_statistics;
+
if statistics_args.is_distinct {
+ // Only column references can be resolved from statistics;
+ // expressions like casts or literals are not supported.
+ let col_expr =
expr.as_any().downcast_ref::<expressions::Column>()?;
+ if let Precision::Exact(dc) =
col_stats[col_expr.index()].distinct_count {
+ return Some(ScalarValue::Int64(Some(dc as i64)));
Review Comment:
Since other paths were casting as well I did not do it actually but let me
do it for all paths
##########
datafusion/core/tests/physical_optimizer/aggregate_statistics.rs:
##########
@@ -402,3 +409,142 @@ async fn utf8_grouping_min_max_limit_fallbacks() ->
Result<()> {
Ok(())
}
+
+fn mock_data_with_distinct_count(
Review Comment:
I did not exactly understand but changed it to one table driven test
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