felixscherz commented on issue #1404:
URL:
https://github.com/apache/iceberg-python/issues/1404#issuecomment-2606505572
@soumilshah1995 once #1429 is merged, an example would be:
```python
from pyiceberg.catalog.s3tables import S3TablesCatalog
import pyarrow as pa
table_bucket_arn: str = "..."
aws_region: str = "..."
properties = {"s3tables.warehouse": table_bucket_arn, "s3tables.region":
aws_region}
catalog = S3TablesCatalog(name="s3tables_catalog", **properties)
database_name = "prod"
catalog.create_namespace(namespace=database_name)
pyarrow_table = pa.Table.from_arrays(
[
pa.array([None, "A", "B", "C"]),
pa.array([1, 2, 3, 4]),
pa.array([True, None, False, True]),
pa.array([None, "A", "B", "C"]),
],
schema=pa.schema(
[
pa.field("foo", pa.large_string(), nullable=True),
pa.field("bar", pa.int32(), nullable=False),
pa.field("baz", pa.bool_(), nullable=True),
pa.field("large", pa.large_string(), nullable=True),
]
),
)
identifier = (database_name, "orders")
table = catalog.create_table(identifier=identifier,
schema=pyarrow_table.schema)
table.append(pyarrow_table)
```
I'm currently working on implementing AWS S3 Tables for the moto library
https://github.com/getmoto/moto/pull/8470 so once that is merged, we can
improve the tests and merge #1429
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