kevinjqliu commented on code in PR #469:
URL: https://github.com/apache/iceberg-python/pull/469#discussion_r1503717843


##########
tests/catalog/test_sql.py:
##########
@@ -851,3 +852,39 @@ def test_concurrent_commit_table(catalog: SqlCatalog, 
table_schema_simple: Schem
         # This one should fail since it already has been updated
         with table_b.update_schema() as update:
             update.add_column(path="c", field_type=IntegerType())
+
+
+@pytest.mark.parametrize(
+    'catalog',
+    [
+        lazy_fixture('catalog_memory'),
+        lazy_fixture('catalog_sqlite'),
+        lazy_fixture('catalog_sqlite_without_rowcount'),
+    ],
+)
+def test_table_properties_int_value(catalog: SqlCatalog, table_schema_simple: 
Schema, random_identifier: Identifier) -> None:
+    # table properties can be set to int, but still serialized to string
+    database_name, _table_name = random_identifier
+    catalog.create_namespace(database_name)
+    property_with_int = {"property_name": 42}
+    table = catalog.create_table(random_identifier, table_schema_simple, 
properties=property_with_int)
+    assert isinstance(table.properties["property_name"], str)
+
+
+@pytest.mark.parametrize(
+    'catalog',
+    [
+        lazy_fixture('catalog_memory'),
+        lazy_fixture('catalog_sqlite'),
+        lazy_fixture('catalog_sqlite_without_rowcount'),
+    ],
+)
+def test_table_properties_raise_for_none_value(
+    catalog: SqlCatalog, table_schema_simple: Schema, random_identifier: 
Identifier
+) -> None:
+    database_name, _table_name = random_identifier
+    catalog.create_namespace(database_name)
+    property_with_none = {"property_name": None}
+    with pytest.raises(ValidationError) as exc_info:

Review Comment:
   I believe Pydantic catches the underlying error and reraise a ValidationError
   
   from the [docs](https://docs.pydantic.dev/latest/errors/errors/),
   """
   Pydantic will raise a 
[ValidationError](https://docs.pydantic.dev/latest/api/pydantic_core/#pydantic_core.ValidationError)
 whenever it finds an error in the data it's validating.
   
   Note
   Validation code should not raise ValidationError itself, but rather raise a 
ValueError or AssertionError (or subclass thereof) which will be caught and 
used to populate ValidationError.
   """



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