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Merged
xudong963 merged 2 commits into from
Dec 31, 2025
Merged

feat: implement partition_statistics for WindowAggExec #18534

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f82a634
feat: implement partition_statistics for WindowAggExec
0xPoe Nov 7, 2025
11b7476
refactor: remove statistics inner
0xPoe Dec 30, 2025
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103 changes: 103 additions & 0 deletions datafusion/core/tests/physical_optimizer/partition_statistics.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,7 @@ mod test {
use datafusion_common::{ColumnStatistics, ScalarValue, Statistics};
use datafusion_execution::TaskContext;
use datafusion_execution::config::SessionConfig;
use datafusion_expr::{WindowFrame, WindowFunctionDefinition};
use datafusion_expr_common::operator::Operator;
use datafusion_functions_aggregate::count::count_udaf;
use datafusion_physical_expr::Partitioning;
Expand All @@ -52,6 +53,7 @@ mod test {
use datafusion_physical_plan::repartition::RepartitionExec;
use datafusion_physical_plan::sorts::sort::SortExec;
use datafusion_physical_plan::union::{InterleaveExec, UnionExec};
use datafusion_physical_plan::windows::{WindowAggExec, create_window_expr};
use datafusion_physical_plan::{
ExecutionPlan, ExecutionPlanProperties, execute_stream_partitioned,
get_plan_string,
Expand Down Expand Up @@ -1154,4 +1156,105 @@ mod test {

Ok(())
}

#[tokio::test]
async fn test_statistic_by_partition_of_window_agg() -> Result<()> {
let scan = create_scan_exec_with_statistics(None, Some(2)).await;

let window_expr = create_window_expr(
&WindowFunctionDefinition::AggregateUDF(count_udaf()),
"count".to_owned(),
&[col("id", &scan.schema())?],
&[], // no partition by
&[PhysicalSortExpr::new(
col("id", &scan.schema())?,
SortOptions::default(),
)],
Arc::new(WindowFrame::new(Some(false))),
scan.schema(),
false,
false,
None,
)?;

let window_agg: Arc<dyn ExecutionPlan> =
Arc::new(WindowAggExec::try_new(vec![window_expr], scan, true)?);

// Verify partition statistics are properly propagated (not unknown)
let statistics = (0..window_agg.output_partitioning().partition_count())
.map(|idx| window_agg.partition_statistics(Some(idx)))
.collect::<Result<Vec<_>>>()?;

assert_eq!(statistics.len(), 2);

// Window functions preserve input row counts and column statistics
// but add unknown statistics for the new window column
let expected_statistic_partition_1 = Statistics {
num_rows: Precision::Exact(2),
total_byte_size: Precision::Absent,
column_statistics: vec![
ColumnStatistics {
null_count: Precision::Exact(0),
max_value: Precision::Exact(ScalarValue::Int32(Some(4))),
min_value: Precision::Exact(ScalarValue::Int32(Some(3))),
sum_value: Precision::Absent,
distinct_count: Precision::Absent,
byte_size: Precision::Exact(8),
},
ColumnStatistics {
null_count: Precision::Exact(0),
max_value: Precision::Exact(ScalarValue::Date32(Some(
DATE_2025_03_02,
))),
min_value: Precision::Exact(ScalarValue::Date32(Some(
DATE_2025_03_01,
))),
sum_value: Precision::Absent,
distinct_count: Precision::Absent,
byte_size: Precision::Exact(8),
},
ColumnStatistics::new_unknown(), // window column
],
};

let expected_statistic_partition_2 = Statistics {
num_rows: Precision::Exact(2),
total_byte_size: Precision::Absent,
column_statistics: vec![
ColumnStatistics {
null_count: Precision::Exact(0),
max_value: Precision::Exact(ScalarValue::Int32(Some(2))),
min_value: Precision::Exact(ScalarValue::Int32(Some(1))),
sum_value: Precision::Absent,
distinct_count: Precision::Absent,
byte_size: Precision::Exact(8),
},
ColumnStatistics {
null_count: Precision::Exact(0),
max_value: Precision::Exact(ScalarValue::Date32(Some(
DATE_2025_03_04,
))),
min_value: Precision::Exact(ScalarValue::Date32(Some(
DATE_2025_03_03,
))),
sum_value: Precision::Absent,
distinct_count: Precision::Absent,
byte_size: Precision::Exact(8),
},
ColumnStatistics::new_unknown(), // window column
],
};

assert_eq!(statistics[0], expected_statistic_partition_1);
assert_eq!(statistics[1], expected_statistic_partition_2);

// Verify the statistics match actual execution results
let expected_stats = vec![
ExpectedStatistics::NonEmpty(3, 4, 2),
ExpectedStatistics::NonEmpty(1, 2, 2),
];
validate_statistics_with_data(window_agg, expected_stats, 0).await?;

Ok(())
}
}
38 changes: 15 additions & 23 deletions datafusion/physical-plan/src/windows/window_agg_exec.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -158,24 +158,6 @@ impl WindowAggExec {
.unwrap_or_else(Vec::new)
}
}

fn statistics_inner(&self) -> Result<Statistics> {
let input_stat = self.input.partition_statistics(None)?;
let win_cols = self.window_expr.len();
let input_cols = self.input.schema().fields().len();
// TODO stats: some windowing function will maintain invariants such as min, max...
let mut column_statistics = Vec::with_capacity(win_cols + input_cols);
// copy stats of the input to the beginning of the schema.
column_statistics.extend(input_stat.column_statistics);
for _ in 0..win_cols {
column_statistics.push(ColumnStatistics::new_unknown())
}
Ok(Statistics {
num_rows: input_stat.num_rows,
column_statistics,
total_byte_size: Precision::Absent,
})
}
}

impl DisplayAs for WindowAggExec {
Expand Down Expand Up @@ -291,15 +273,25 @@ impl ExecutionPlan for WindowAggExec {
}

fn statistics(&self) -> Result<Statistics> {
self.statistics_inner()
self.partition_statistics(None)
}

fn partition_statistics(&self, partition: Option<usize>) -> Result<Statistics> {
if partition.is_none() {
self.statistics_inner()
} else {
Ok(Statistics::new_unknown(&self.schema()))
let input_stat = self.input.partition_statistics(partition)?;
let win_cols = self.window_expr.len();
let input_cols = self.input.schema().fields().len();
// TODO stats: some windowing function will maintain invariants such as min, max...
let mut column_statistics = Vec::with_capacity(win_cols + input_cols);
// copy stats of the input to the beginning of the schema.
column_statistics.extend(input_stat.column_statistics);
for _ in 0..win_cols {
column_statistics.push(ColumnStatistics::new_unknown())
}
Ok(Statistics {
num_rows: input_stat.num_rows,
column_statistics,
total_byte_size: Precision::Absent,
})
}
}

Expand Down