ndrluis commented on issue #738:
URL: https://github.com/apache/iceberg-python/issues/738#issuecomment-2116167599
Sorry, I double-checked the Java implementation, and it's correct on the
Python side.
@apersilva, for your case, I believe you need to do something like this:
```
from pyiceberg.io.pyarrow import schema_to_pyarrow
schema = schema_to_pyarrow(tabela.schema())
df = pa.Table.from_pylist(
[
{
"nome_tabela": table_name,
"nome_base_dados": database_name,
"particao": partition_by,
"numero_registro": size,
"process_date": process_date,
"particao_customizada": custom_partition,
"data_criacao": datetime.now().date()
}
],
schema=schema
)
tabela.append(df)
````
In a future release, there will be a function in the Schema object to return
the Arrow schema, so it would look like this: `schema =
tabela.schema().as_arrow()`
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