ndrluis commented on issue #1020:
URL:
https://github.com/apache/iceberg-python/issues/1020#issuecomment-2274610759
@Minfante377 I was able to reproduce the code.
```python
from pyiceberg.catalog import load_catalog
import pyarrow as pa
from pyiceberg.schema import Schema
from pyiceberg.types import NestedField, StringType, DoubleType
from pyiceberg.expressions import In
catalog = load_catalog(
"demo",
**{
"type": "rest",
"uri": "http://localhost:8181";,
"s3.endpoint": "http://localhost:9000";,
"s3.access-key-id": "admin",
"s3.secret-access-key": "password",
"warehouse": "demo",
},
)
catalog.create_namespace_if_not_exists("default")
schema = Schema(
NestedField(1, "id", StringType(), required=True),
NestedField(2, "name", StringType(), required=False),
identifier_field_ids=[1],
)
tbl = catalog.create_table_if_not_exists("default.overrite_test",
schema=schema)
df = pa.Table.from_pylist(
[
{"id": "1", "name": "Amsterdam"},
{"id": "2", "name": "San Francisco"},
{"id": "3", "name": "Drachten"},
],
schema=schema.as_arrow(),
)
tbl.append(df)
df = pa.Table.from_pylist(
[
{"id": "1", "name": "Amsterdam"},
{"id": "2", "name": "San Francisco"},
{"id": "3", "name": "Drachten"},
],
schema=schema.as_arrow(),
)
overwrite_filter = In("id", df.to_pandas()["id"].to_list())
tbl.overwrite(df, overwrite_filter=overwrite_filter)
```
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