jayceslesar commented on issue #2512:
URL:
https://github.com/apache/iceberg-python/issues/2512#issuecomment-3329709560
hmmm I added
```py
@pytest.mark.integration
@pytest.mark.parametrize("test_catalog", CATALOGS)
def test_slow_dots(
test_catalog: Catalog, table_schema_simple: Schema, table_name: str,
database_name: str
) -> None:
identifier = (database_name, table_name)
test_catalog.create_namespace(database_name)
tbl = test_catalog.create_table(identifier, table_schema_simple)
df = pa.Table.from_pylist(
[
{"foo": "123.123", "bar": 1, "baz": True},
{"foo": "456.456", "bar": 1, "baz": True},
],
schema=tbl.schema().as_arrow(),
)
tbl.append(df)
tbl.delete(delete_filter="foo == '123.123'")
```
To the test_catalog integration tests locally and am not seeing a
performance hit but that doesnt test with s3 tables
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