alamb commented on code in PR #16086:
URL: https://github.com/apache/datafusion/pull/16086#discussion_r2103114864
##########
datafusion/core/src/datasource/physical_plan/parquet.rs:
##########
@@ -848,6 +864,88 @@ mod tests {
assert_eq!(read.len(), 0);
}
+ #[tokio::test]
+ async fn evolved_schema_column_type_filter_strings() {
+ // The table and filter have a common data type, but the file schema
differs
+ let c1: ArrayRef =
+ Arc::new(StringViewArray::from(vec![Some("foo"), Some("bar")]));
+ let batch = create_batch(vec![("c1", c1.clone())]);
+
+ let schema = Arc::new(Schema::new(vec![Field::new("c1",
DataType::Utf8, false)]));
+
+ // Predicate should prune all row groups
+ let filter =
col("c1").eq(lit(ScalarValue::Utf8(Some("aaa".to_string()))));
Review Comment:
Upon more reflection, I think the predicate needs to be created using the
logical schema today
@adriangb @etseidl and myself are discussing potentially changing that here:
- https://github.com/apache/datafusion/issues/15780
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