HonahX commented on code in PR #305:
URL: https://github.com/apache/iceberg-python/pull/305#discussion_r1467303335
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pyiceberg/io/pyarrow.py:
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@@ -906,6 +986,76 @@ def after_map_value(self, element: pa.Field) -> None:
self._field_names.pop()
+class
_ConvertToIcebergWithFreshIds(PreOrderPyArrowSchemaVisitor[Union[IcebergType,
Schema]]):
Review Comment:
Thanks @syun64 for the summarization. I fully agree with your reasoning. I
raised that question just to make sure we all agree that the minimum
requirement for the new visitor here is to assign **arbitrarily unique IDs**
for each field. Based on our discussions, there are the following options:
1. update `_ConvertToIceberg` to generate some arbitrarily unique IDs for
each field in post-order
2. Add a `_ConvertToIcebergWithFreshIds` post-order visitor
3. Add a `_ConvertToIcebergWithFreshIds` pre-order visitor +
`pre_order_visit_pyarrow`
Option 1 has almost no code duplication and requires slight changes only.
Option 2 requires some code duplication, which can be reduced by re-using
`primitive()`(the current implementation) or reduced further by implementing
some sort of inheritance as
https://github.com/apache/iceberg-python/pull/219#discussion_r1456922888.
Option 3 requires some code duplication, which can be reduced by re-using
`primitive()` (the current implementation)
Since the schema generated by option 3 will still have some difference in
field ids assignment than that by `assign_fresh_schema_ids`, I am more inclined
toward option 1 and 2. I think we might not need the `pre_order_visit_pyarrow`
and `PreOrderPyArrowSchemaVisitor`.
For option 1 and 2, I have no strong preference. If there is no further
concern about mixing this special case for table creation with the visitor
implementaion to read table, option 1 is optimal. If we still think it may be
better to separate the logic from `_ConvertToIceberg`, considering this
[concern](https://github.com/apache/iceberg-python/pull/219#issuecomment-1859273052),
then option 2 can be a compromise choice. WDYT?
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