UBarney commented on code in PR #15954:
URL: https://github.com/apache/datafusion/pull/15954#discussion_r2093873182
##########
datafusion/core/tests/physical_optimizer/partition_statistics.rs:
##########
@@ -488,4 +520,155 @@ mod test {
assert_eq!(statistics[0], expected_statistic_partition);
Ok(())
}
+
+ #[tokio::test]
+ async fn test_statistic_by_partition_of_agg() -> Result<()> {
+ let scan = create_scan_exec_with_statistics(None, Some(2)).await;
+
+ let scan_schema = scan.schema();
+
+ let group_by = PhysicalGroupBy::new_single(vec![
+ (col("id", &scan_schema)?, "id".to_string()),
+ (
+ binary(
+ lit(1),
+ Operator::Plus,
+ col("id", &scan_schema)?,
+ &scan_schema,
+ )?,
+ "expr".to_string(),
+ ),
+ ]);
+
+ let aggr_expr = vec![AggregateExprBuilder::new(count_udaf(),
vec![lit(1)])
+ .schema(Arc::clone(&scan_schema))
+ .alias(String::from("COUNT(c)"))
+ .build()
+ .map(Arc::new)?];
+
+ let aggregate_exec_partial = Arc::new(AggregateExec::try_new(
+ AggregateMode::Partial,
+ group_by.clone(),
+ aggr_expr.clone(),
+ vec![None],
+ Arc::clone(&scan),
+ scan_schema.clone(),
+ )?);
+
+ let p0_statistics =
aggregate_exec_partial.partition_statistics(Some(0))?;
+
+ let expected_p0_statistics = Statistics {
+ num_rows: Precision::Inexact(2),
+ total_byte_size: Precision::Absent,
+ column_statistics: vec![
+ ColumnStatistics {
+ null_count: Precision::Absent,
+ max_value: Precision::Exact(ScalarValue::Int32(Some(4))),
+ min_value: Precision::Exact(ScalarValue::Int32(Some(3))),
+ sum_value: Precision::Absent,
+ distinct_count: Precision::Absent,
+ },
+ ColumnStatistics::new_unknown(),
+ ColumnStatistics::new_unknown(),
+ ],
+ };
+
+ assert_eq!(&p0_statistics, &expected_p0_statistics);
+
+ let expected_p1_statistics = Statistics {
+ num_rows: Precision::Inexact(2),
+ total_byte_size: Precision::Absent,
+ column_statistics: vec![
+ ColumnStatistics {
+ null_count: Precision::Absent,
+ max_value: Precision::Exact(ScalarValue::Int32(Some(2))),
+ min_value: Precision::Exact(ScalarValue::Int32(Some(1))),
+ sum_value: Precision::Absent,
+ distinct_count: Precision::Absent,
+ },
+ ColumnStatistics::new_unknown(),
+ ColumnStatistics::new_unknown(),
+ ],
+ };
+
+ let p1_statistics =
aggregate_exec_partial.partition_statistics(Some(1))?;
+ assert_eq!(&p1_statistics, &expected_p1_statistics);
+
+ validate_statistics_with_data(
+ aggregate_exec_partial.clone(),
+ vec![
+ ExpectedStatistics::NonEmpty(3, 4, 2),
+ ExpectedStatistics::NonEmpty(1, 2, 2),
+ ],
+ 0,
+ )
+ .await?;
+
+ let agg_final = Arc::new(AggregateExec::try_new(
+ AggregateMode::Final,
+ group_by.clone(),
+ aggr_expr.clone(),
+ vec![None],
+ aggregate_exec_partial.clone(),
+ aggregate_exec_partial.schema(),
+ )?);
+
+ let p0_statistics = agg_final.partition_statistics(Some(0))?;
+ assert_eq!(&p0_statistics, &expected_p0_statistics);
+
+ let p1_statistics = agg_final.partition_statistics(Some(1))?;
+ assert_eq!(&p1_statistics, &expected_p1_statistics);
+
+ validate_statistics_with_data(
+ agg_final.clone(),
+ vec![
+ ExpectedStatistics::NonEmpty(3, 4, 2),
+ ExpectedStatistics::NonEmpty(1, 2, 2),
+ ],
+ 0,
+ )
+ .await?;
+
+ let empty_table =
+ Arc::new(EmptyExec::new(scan_schema.clone()).with_partitions(2));
+
+ let agg_partial = Arc::new(AggregateExec::try_new(
+ AggregateMode::Partial,
+ group_by.clone(),
+ aggr_expr.clone(),
+ vec![None],
+ empty_table.clone(),
+ scan_schema.clone(),
+ )?);
+
+ let agg_final = Arc::new(AggregateExec::try_new(
+ AggregateMode::Final,
+ group_by.clone(),
+ aggr_expr.clone(),
+ vec![None],
+ agg_partial.clone(),
+ agg_partial.schema(),
+ )?);
+
+ let empty_stat = Statistics {
+ num_rows: Precision::Exact(0),
+ total_byte_size: Precision::Absent,
+ column_statistics: vec![
+ ColumnStatistics::new_unknown(),
+ ColumnStatistics::new_unknown(),
+ ColumnStatistics::new_unknown(),
+ ],
+ };
+ assert_eq!(&empty_stat, &agg_final.partition_statistics(Some(0))?);
+ assert_eq!(&empty_stat, &agg_final.partition_statistics(Some(1))?);
Review Comment:
> How about also adding `AggregateMode::Final` test
done. PTAL
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