mbutrovich commented on code in PR #1226:
URL: https://github.com/apache/datafusion-comet/pull/1226#discussion_r1905609592
##########
native/spark-expr/src/cast.rs:
##########
@@ -817,17 +818,28 @@ fn cast_struct_to_struct(
cast_options: &SparkCastOptions,
) -> DataFusionResult<ArrayRef> {
match (from_type, to_type) {
- (DataType::Struct(_), DataType::Struct(to_fields)) => {
- let mut cast_fields: Vec<(Arc<Field>, ArrayRef)> =
Vec::with_capacity(to_fields.len());
+ (DataType::Struct(from_fields), DataType::Struct(to_fields)) => {
+ // TODO some of this logic may be specific to converting Parquet
to Spark
+ let mut field_name_to_index_map = HashMap::new();
Review Comment:
I'm wondering if we'll end up adding a cache in the SchemaAdapter logic for
these sorts of maps, since it looks like this would be generated for each batch?
##########
native/spark-expr/src/schema_adapter.rs:
##########
@@ -321,10 +322,26 @@ fn cast_supported(from_type: &DataType, to_type:
&DataType, options: &SparkCastO
(Timestamp(_, Some(_)), _) => can_cast_from_timestamp(to_type,
options),
(Utf8 | LargeUtf8, _) => can_cast_from_string(to_type, options),
(_, Utf8 | LargeUtf8) => can_cast_to_string(from_type, options),
- (Struct(from_fields), Struct(to_fields)) => from_fields
- .iter()
- .zip(to_fields.iter())
- .all(|(a, b)| cast_supported(a.data_type(), b.data_type(),
options)),
+ (Struct(from_fields), Struct(to_fields)) => {
+ // TODO some of this logic may be specific to converting Parquet
to Spark
+ let mut field_types = HashMap::new();
+ for field in from_fields {
+ field_types.insert(field.name(), field.data_type());
Review Comment:
Same caching comment as above, mostly as a reminder to our future selves.
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