geoffreyclaude commented on code in PR #19443:
URL: https://github.com/apache/datafusion/pull/19443#discussion_r2640928238
##########
datafusion/physical-expr/src/expressions/in_list.rs:
##########
@@ -3225,4 +3226,242 @@ mod tests {
Ok(())
}
+
+ #[test]
+ fn test_in_list_esoteric_types() -> Result<()> {
+ // Test esoteric/less common types to validate the transform and
mapping flow.
+ // These types are reinterpreted to base primitive types (e.g.,
Timestamp -> UInt64,
+ // Interval -> Decimal128, Float16 -> UInt16). We just need to verify
basic
+ // functionality works - no need for comprehensive null handling tests.
+
+ // Helper: simple IN test that expects [Some(true), Some(false)]
+ let test_type = |data_type: DataType,
+ in_array: ArrayRef,
+ list_values: Vec<ScalarValue>|
+ -> Result<()> {
+ let schema = Schema::new(vec![Field::new("a", data_type.clone(),
false)]);
+ let col_a = col("a", &schema)?;
+ let batch = RecordBatch::try_new(Arc::new(schema.clone()),
vec![in_array])?;
+
+ let list = list_values.into_iter().map(lit).collect();
+ in_list!(
+ batch,
+ list,
+ &false,
+ vec![Some(true), Some(false)],
+ col_a,
+ &schema
+ );
+ Ok(())
+ };
+
+ // Timestamp types (all units map to Int64 -> UInt64)
+ test_type(
+ DataType::Timestamp(TimeUnit::Second, None),
+ Arc::new(TimestampSecondArray::from(vec![Some(1000), Some(2000)])),
+ vec![
+ ScalarValue::TimestampSecond(Some(1000), None),
+ ScalarValue::TimestampSecond(Some(1500), None),
+ ],
+ )?;
+
+ test_type(
+ DataType::Timestamp(TimeUnit::Millisecond, None),
+ Arc::new(TimestampMillisecondArray::from(vec![
+ Some(1000000),
+ Some(2000000),
+ ])),
+ vec![
+ ScalarValue::TimestampMillisecond(Some(1000000), None),
+ ScalarValue::TimestampMillisecond(Some(1500000), None),
Review Comment:
Added in new commit
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