gabeiglio commented on code in PR #1443:
URL: https://github.com/apache/iceberg-python/pull/1443#discussion_r1919197614
##########
pyiceberg/io/pyarrow.py:
##########
@@ -1216,6 +1216,25 @@ def _field_id(self, field: pa.Field) -> int:
return -1
+def _get_column_projection_values(
+ file: DataFile,
+ projected_schema: Schema,
+ projected_field_ids: Set[int],
+ file_project_schema: Schema,
+ partition_spec: Optional[PartitionSpec] = None,
+) -> Dict[str, object]:
+ """Apply Column Projection rules to File Schema."""
+ projected_missing_fields = {}
+
+ for field_id in
projected_field_ids.difference(file_project_schema.field_ids):
+ if partition_spec is not None:
+ for partition_field in
partition_spec.fields_by_source_id(field_id):
+ if isinstance(partition_field.transform, IdentityTransform)
and partition_field.name in file.partition.__dict__:
+ projected_missing_fields[partition_field.name] =
file.partition.__dict__[partition_field.name]
Review Comment:
Oh I see, I was missing `partition_schema =
partition_spec.partition_type(projected_schema)`, thank you so much for the
explanation and example!
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