Fokko commented on code in PR #5627:
URL: https://github.com/apache/iceberg/pull/5627#discussion_r958815658


##########
python/pyiceberg/schema.py:
##########
@@ -638,3 +724,61 @@ def map(self, map_type: MapType, key_result: int, 
value_result: int) -> int:
 
     def primitive(self, primitive: PrimitiveType) -> int:
         return 0
+
+
+def assign_fresh_schema_ids(schema: Schema) -> Schema:
+    """Traverses the schema, and sets new IDs"""
+    schema_struct = pre_order_visit(schema.as_struct(), _SetFreshIDs())
+
+    fresh_identifier_field_ids = []
+    new_schema = Schema(*schema_struct.fields)
+    for field_id in schema.identifier_field_ids:
+        original_field_name = schema.find_column_name(field_id)
+        if original_field_name is None:
+            raise ValueError(f"Could not find field: {field_id}")
+        fresh_field = new_schema.find_field(original_field_name)
+        if fresh_field is None:
+            raise ValueError(f"Could not lookup field in new schema: 
{original_field_name}")
+        fresh_identifier_field_ids.append(fresh_field.field_id)
+
+    return new_schema.copy(update={"identifier_field_ids": 
fresh_identifier_field_ids})
+
+
+class _SetFreshIDs(PreOrderSchemaVisitor[IcebergType]):
+    """Traverses the schema and assigns monotonically increasing ids"""
+
+    counter: itertools.count
+
+    def __init__(self, start: int = 1) -> None:
+        self.counter = itertools.count(start)
+
+    def _get_and_increment(self) -> int:
+        return next(self.counter)
+
+    def schema(self, schema: Schema, struct_result: Callable[[], StructType]) 
-> Schema:
+        return Schema(*struct_result().fields, 
identifier_field_ids=schema.identifier_field_ids)

Review Comment:
   Yes, we do that in the function itself:
   ```python
   def assign_fresh_schema_ids(schema: Schema) -> Schema:
       """Traverses the schema, and sets new IDs"""
       schema_struct = pre_order_visit(schema.as_struct(), _SetFreshIDs())
   
       fresh_identifier_field_ids = []
       new_schema = Schema(*schema_struct.fields)
       for field_id in schema.identifier_field_ids:
           original_field_name = schema.find_column_name(field_id)
           if original_field_name is None:
               raise ValueError(f"Could not find field: {field_id}")
           fresh_field = new_schema.find_field(original_field_name)
           if fresh_field is None:
               raise ValueError(f"Could not lookup field in new schema: 
{original_field_name}")
           fresh_identifier_field_ids.append(fresh_field.field_id)
   
       return new_schema.copy(update={"identifier_field_ids": 
fresh_identifier_field_ids})
   ```
   This is because we first want to know all the IDs



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