syun64 commented on code in PR #305:
URL: https://github.com/apache/iceberg-python/pull/305#discussion_r1470494285
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pyiceberg/schema.py:
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@@ -1221,50 +1221,57 @@ def assign_fresh_schema_ids(schema_or_type:
Union[Schema, IcebergType], next_id:
class _SetFreshIDs(PreOrderSchemaVisitor[IcebergType]):
"""Traverses the schema and assigns monotonically increasing ids."""
- reserved_ids: Dict[int, int]
+ old_id_to_new_id: Dict[int, int]
Review Comment:
I tried this out, and I think we might have to leave this logic in for this
iteration.
The usage of create_table in PyIceberg is slightly different from the Java
implementation in that the user can create an IcebergSchema, instead of a Spark
DF schema or a PyArrow schema. This means that the user can choose to include
identifier_field_ids in the IcebergSchema that they define.
I think it might make sense to consolidate the way we update the
identifier_field_ids on create_table, update_schema, replace_table and other
similar operations in a future PR.
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