alamb commented on code in PR #4519:
URL: https://github.com/apache/arrow-datafusion/pull/4519#discussion_r1045068803
##########
datafusion/core/src/physical_plan/filter.rs:
##########
@@ -494,6 +513,52 @@ mod tests {
Ok(())
}
+ #[tokio::test]
+ async fn test_filter_statistics_column_level_nested() -> Result<()> {
+ // Table:
+ // a: min=1, max=100
+ let schema = Schema::new(vec![Field::new("a", DataType::Int32,
false)]);
+ let input = Arc::new(StatisticsExec::new(
+ Statistics {
+ num_rows: Some(100),
+ column_statistics: Some(vec![ColumnStatistics {
+ min_value: Some(ScalarValue::Int32(Some(1))),
+ max_value: Some(ScalarValue::Int32(Some(100))),
+ ..Default::default()
+ }]),
+ ..Default::default()
+ },
+ schema.clone(),
+ ));
+
+ // WHERE a <= 25
+ let sub_filter: Arc<dyn ExecutionPlan> = Arc::new(FilterExec::try_new(
+ binary(col("a", &schema)?, Operator::LtEq, lit(25i32), &schema)?,
+ input,
+ )?);
+
+ // Nested filters (two separate physical plans, instead of AND chain
in the expr)
+ // WHERE a >= 10
+ // WHERE a <= 25
+ let filter: Arc<dyn ExecutionPlan> = Arc::new(FilterExec::try_new(
+ binary(col("a", &schema)?, Operator::GtEq, lit(10i32), &schema)?,
+ sub_filter,
+ )?);
+
+ let statistics = filter.statistics();
+ assert_eq!(statistics.num_rows, Some(16));
+ assert_eq!(
+ statistics.column_statistics,
+ Some(vec![ColumnStatistics {
+ min_value: Some(ScalarValue::Int32(Some(10))),
Review Comment:
nice
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