HonahX commented on code in PR #182:
URL: https://github.com/apache/iceberg-python/pull/182#discussion_r1414899521
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pyiceberg/table/__init__.py:
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@@ -533,6 +535,8 @@ def update_table_metadata(base_metadata: TableMetadata,
updates: Tuple[TableUpda
for update in updates:
new_metadata = _apply_table_update(update, new_metadata, context)
+ # Rebuild metadata to trigger validation
+ new_metadata = TableMetadataUtil.parse_obj(copy(new_metadata.model_dump()))
Review Comment:
Since `model_copy` performs a shallow copy by default, I believe we need to
execute a deep copy before returning the final `new_metadata`. Otherwise,
`base_metadata` might be inadvertently altered due to any improper updates
applied to `new_metadata` subsequently.
Furthermore, as indicated by https://github.com/pydantic/pydantic/issues/418
and by some local tests, `model_copy(update=)` does not validate the contents
of update. I think it might be good to reconstruct the metadata at this point
to initiate the validation process.
(Alternatively, we could perform a deep copy here and incorporate the
validation into our unit tests. Open to discussion on this approach.)
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