kevinjqliu commented on issue #2684:
URL:
https://github.com/apache/iceberg-python/issues/2684#issuecomment-3482701492
hm gotta dig into this a little deeper, like you mentioned, casting the
pa.Table with provided schema works
```
from pyiceberg.catalog import load_catalog
import pyarrow as pa
warehouse_path = "/tmp/warehouse"
catalog = load_catalog(
"default",
**{
'type': 'sql',
"uri": f"sqlite:///{warehouse_path}/pyiceberg_catalog.db",
"warehouse": f"file://{warehouse_path}",
},
)
catalog.create_namespace_if_not_exists("test")
schema = pa.schema({
"id": pa.int64(),
"text": pa.string(),
"map": pa.map_(pa.string(), pa.string())
})
table = catalog.create_table_if_not_exists("test.table", schema)
print("table schema:", table.schema())
print()
data = pa.Table.from_pylist([{"id": 1}], schema=schema)
print("data schema:", data.schema)
print()
table.append(data)
```
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