test_glue.py

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from unittest import mock

import boto3
import pyarrow as pa
import pytest
from moto import mock_aws

from pyiceberg.catalog.glue import GLUE_CONNECTION_S3_TABLES, GlueCatalog
from pyiceberg.exceptions import (
    NamespaceAlreadyExistsError,
    NamespaceNotEmptyError,
    NoSuchIcebergTableError,
    NoSuchNamespaceError,
    NoSuchPropertyException,
    NoSuchTableError,
    TableAlreadyExistsError,
)
from pyiceberg.io.pyarrow import schema_to_pyarrow
from pyiceberg.partitioning import PartitionField, PartitionSpec
from pyiceberg.schema import Schema
from pyiceberg.transforms import IdentityTransform
from pyiceberg.typedef import Properties
from pyiceberg.types import IntegerType
from tests.conftest import (
    BUCKET_NAME,
    TABLE_METADATA_LOCATION_REGEX,
    UNIFIED_AWS_SESSION_PROPERTIES,
)

S3TABLES_WAREHOUSE_LOCATION = "s3tables-warehouse-location"


def _patch_moto_for_s3tables(monkeypatch: pytest.MonkeyPatch) -> None:
    """Patch moto to simulate S3 Tables federated databases.

    Moto does not support FederatedDatabase on GetDatabase responses or
    auto-populating StorageDescriptor.Location for S3 Tables. These patches
    simulate the S3 Tables service behavior so that the GlueCatalog S3 Tables
    code path can be tested end-to-end with moto.
    """
    from moto.glue.models import FakeDatabase, FakeTable

    # Patch 1: Make GetDatabase return FederatedDatabase from the stored input.
    _original_db_as_dict = FakeDatabase.as_dict

    def _db_as_dict_with_federated(self):  # type: ignore
        result = _original_db_as_dict(self)
        if federated := self.input.get("FederatedDatabase"):
            result["FederatedDatabase"] = federated
        return result

    monkeypatch.setattr(FakeDatabase, "as_dict", _db_as_dict_with_federated)

    # Patch 2: When a table is created with format=ICEBERG (the S3 Tables convention),
    # inject a StorageDescriptor.Location to simulate S3 Tables vending a table
    # warehouse location.
    _original_table_init = FakeTable.__init__

    def _table_init_with_location(self, database_name, table_name, table_input, catalog_id):  # type: ignore
        if table_input.get("Parameters", {}).get("format") == "ICEBERG" and "StorageDescriptor" not in table_input:
            table_input = {
                **table_input,
                "StorageDescriptor": {
                    "Columns": [],
                    "Location": f"s3://{S3TABLES_WAREHOUSE_LOCATION}/{database_name}/{table_name}/",
                    "InputFormat": "",
                    "OutputFormat": "",
                    "SerdeInfo": {},
                },
            }
        _original_table_init(self, database_name, table_name, table_input, catalog_id)

    monkeypatch.setattr(FakeTable, "__init__", _table_init_with_location)

    # Create a bucket backing the simulated table warehouse location. S3 Tables manages
    # this storage internally, but in tests moto needs a real bucket for metadata file
    # writes to succeed.
    s3 = boto3.client("s3", region_name="us-east-1")
    s3.create_bucket(Bucket=S3TABLES_WAREHOUSE_LOCATION)


@mock_aws
def test_create_table_with_database_location(
    _glue: boto3.client,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name, properties={"location": f"s3://{BUCKET_NAME}/{database_name}.db"})
    table = test_catalog.create_table(identifier, table_schema_nested)
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0

    # Ensure schema is also pushed to Glue
    table_info = _glue.get_table(
        DatabaseName=database_name,
        Name=table_name,
    )
    storage_descriptor = table_info["Table"]["StorageDescriptor"]
    columns = storage_descriptor["Columns"]
    assert len(columns) == len(table_schema_nested.fields)
    assert columns[0] == {
        "Name": "foo",
        "Type": "string",
        "Parameters": {"iceberg.field.id": "1", "iceberg.field.optional": "true", "iceberg.field.current": "true"},
    }

    assert storage_descriptor["Location"] == f"s3://{BUCKET_NAME}/{database_name}.db/{table_name}"


@mock_aws
def test_create_v1_table(
    _bucket_initialize: None,
    _glue: boto3.client,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    catalog_name = "glue"
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name, properties={"location": f"s3://{BUCKET_NAME}/{database_name}.db"})
    table = test_catalog.create_table((database_name, table_name), table_schema_nested, properties={"format-version": "1"})
    assert table.format_version == 1

    table_info = _glue.get_table(
        DatabaseName=database_name,
        Name=table_name,
    )

    storage_descriptor = table_info["Table"]["StorageDescriptor"]
    columns = storage_descriptor["Columns"]
    assert len(columns) == len(table_schema_nested.fields)
    assert columns[0] == {
        "Name": "foo",
        "Type": "string",
        "Parameters": {"iceberg.field.id": "1", "iceberg.field.optional": "true", "iceberg.field.current": "true"},
    }

    assert storage_descriptor["Location"] == f"s3://{BUCKET_NAME}/{database_name}.db/{table_name}"


@mock_aws
def test_create_table_with_default_warehouse(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}"})
    test_catalog.create_namespace(namespace=database_name)
    table = test_catalog.create_table(identifier, table_schema_nested)
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0


@mock_aws
def test_create_table_with_given_location(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name)
    table = test_catalog.create_table(
        identifier=identifier, schema=table_schema_nested, location=f"s3://{BUCKET_NAME}/{database_name}.db/{table_name}"
    )
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0


@mock_aws
def test_create_table_removes_trailing_slash_in_location(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name)
    location = f"s3://{BUCKET_NAME}/{database_name}.db/{table_name}"
    table = test_catalog.create_table(identifier=identifier, schema=table_schema_nested, location=f"{location}/")
    assert table.name() == identifier
    assert table.location() == location
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0


@mock_aws
def test_create_table_with_pyarrow_schema(
    _bucket_initialize: None,
    moto_endpoint_url: str,
    pyarrow_schema_simple_without_ids: pa.Schema,
    database_name: str,
    table_name: str,
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name)
    table = test_catalog.create_table(
        identifier=identifier,
        schema=pyarrow_schema_simple_without_ids,
        location=f"s3://{BUCKET_NAME}/{database_name}.db/{table_name}",
    )
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0


@mock_aws
def test_create_table_with_no_location(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name)
    with pytest.raises(ValueError):
        test_catalog.create_table(identifier=identifier, schema=table_schema_nested)


@mock_aws
def test_create_table_with_strips(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name, properties={"location": f"s3://{BUCKET_NAME}/{database_name}.db/"})
    table = test_catalog.create_table(identifier, table_schema_nested)
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0


@mock_aws
def test_create_table_with_strips_bucket_root(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    table_strip = test_catalog.create_table(identifier, table_schema_nested)
    assert table_strip.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table_strip.metadata_location)
    assert test_catalog._parse_metadata_version(table_strip.metadata_location) == 0


@mock_aws
def test_create_table_with_no_database(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    with pytest.raises(NoSuchNamespaceError):
        test_catalog.create_table(identifier=identifier, schema=table_schema_nested)


@mock_aws
def test_create_table_with_glue_catalog_id(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    catalog_id = "444444444444"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(
        catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}", "glue.id": catalog_id}
    )
    test_catalog.create_namespace(namespace=database_name)
    table = test_catalog.create_table(identifier, table_schema_nested)
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0

    glue = boto3.client("glue")
    databases = glue.get_databases()
    assert databases["DatabaseList"][0]["CatalogId"] == catalog_id


@mock_aws
def test_create_duplicated_table(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    test_catalog.create_table(identifier, table_schema_nested)
    with pytest.raises(TableAlreadyExistsError):
        test_catalog.create_table(identifier, table_schema_nested)


@mock_aws
def test_create_table_transaction_s3tables(
    monkeypatch: pytest.MonkeyPatch,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    _patch_moto_for_s3tables(monkeypatch)

    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("s3tables", **{"s3.endpoint": moto_endpoint_url})
    _create_s3tables_database(test_catalog, database_name)

    with test_catalog.create_table_transaction(
        identifier,
        table_schema_nested,
        properties={"test_key": "test_value"},
    ):
        pass

    table = test_catalog.load_table(identifier)
    assert table.name() == identifier
    assert table.location().rstrip("/") == f"s3://{S3TABLES_WAREHOUSE_LOCATION}/{database_name}/{table_name}"
    assert table.properties["test_key"] == "test_value"


@mock_aws
def test_create_table_transaction_s3tables_with_schema_evolution(
    monkeypatch: pytest.MonkeyPatch,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    _patch_moto_for_s3tables(monkeypatch)

    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("s3tables", **{"s3.endpoint": moto_endpoint_url})
    _create_s3tables_database(test_catalog, database_name)

    with test_catalog.create_table_transaction(
        identifier,
        table_schema_nested,
    ) as txn:
        with txn.update_schema() as update_schema:
            update_schema.add_column(path="new_col", field_type=IntegerType())

    table = test_catalog.load_table(identifier)
    assert table.schema().find_field("new_col").field_type == IntegerType()


@mock_aws
def test_create_table_transaction_s3tables_rejects_location(
    monkeypatch: pytest.MonkeyPatch,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    _patch_moto_for_s3tables(monkeypatch)

    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("s3tables", **{"s3.endpoint": moto_endpoint_url})
    _create_s3tables_database(test_catalog, database_name)

    with pytest.raises(ValueError, match="Cannot specify a location for S3 Tables table"):
        test_catalog.create_table_transaction(identifier, table_schema_nested, location="s3://some-bucket/some-path")


@mock_aws
def test_create_table_transaction_s3tables_cleanup_on_exception(
    monkeypatch: pytest.MonkeyPatch,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    """Staging table should be cleaned up if the transaction is not committed."""
    _patch_moto_for_s3tables(monkeypatch)

    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("s3tables", **{"s3.endpoint": moto_endpoint_url})
    _create_s3tables_database(test_catalog, database_name)

    with pytest.raises(RuntimeError, match="intentional"):
        with test_catalog.create_table_transaction(
            identifier,
            table_schema_nested,
        ):
            raise RuntimeError("intentional")

    # The staging table should have been cleaned up, so creating the table again should work.
    table = test_catalog.create_table(identifier, table_schema_nested)  # type: ignore[unreachable]
    assert table.name() == identifier


@mock_aws
def test_load_table(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    test_catalog.create_table(identifier, table_schema_nested)
    table = test_catalog.load_table(identifier)
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0


@mock_aws
def test_load_table_from_self_identifier(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    intermediate = test_catalog.create_table(identifier, table_schema_nested)
    table = test_catalog.load_table(intermediate.name())
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)


@mock_aws
def test_load_non_exist_table(_bucket_initialize: None, moto_endpoint_url: str, database_name: str, table_name: str) -> None:
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    with pytest.raises(NoSuchTableError):
        test_catalog.load_table(identifier)


@mock_aws
def test_drop_table(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    test_catalog.create_table(identifier, table_schema_nested)
    table = test_catalog.load_table(identifier)
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    test_catalog.drop_table(identifier)
    with pytest.raises(NoSuchTableError):
        test_catalog.load_table(identifier)


@mock_aws
def test_drop_table_from_self_identifier(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    test_catalog.create_table(identifier, table_schema_nested)
    table = test_catalog.load_table(identifier)
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    test_catalog.drop_table(table.name())
    with pytest.raises(NoSuchTableError):
        test_catalog.load_table(identifier)
    with pytest.raises(NoSuchTableError):
        test_catalog.load_table(table.name())


@mock_aws
def test_drop_non_exist_table(_bucket_initialize: None, moto_endpoint_url: str, database_name: str, table_name: str) -> None:
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    with pytest.raises(NoSuchTableError):
        test_catalog.drop_table(identifier)


@mock_aws
def test_rename_table(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    new_table_name = f"{table_name}_new"
    identifier = (database_name, table_name)
    new_identifier = (database_name, new_table_name)
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    table = test_catalog.create_table(identifier, table_schema_nested)
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0
    test_catalog.rename_table(identifier, new_identifier)
    new_table = test_catalog.load_table(new_identifier)
    assert new_table.name() == new_identifier
    # the metadata_location should not change
    assert new_table.metadata_location == table.metadata_location
    # old table should be dropped
    with pytest.raises(NoSuchTableError):
        test_catalog.load_table(identifier)


@mock_aws
def test_rename_table_from_self_identifier(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    new_table_name = f"{table_name}_new"
    identifier = (database_name, table_name)
    new_identifier = (database_name, new_table_name)
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    table = test_catalog.create_table(identifier, table_schema_nested)
    assert table.name() == identifier
    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    test_catalog.rename_table(table.name(), new_identifier)
    new_table = test_catalog.load_table(new_identifier)
    assert new_table.name() == new_identifier
    # the metadata_location should not change
    assert new_table.metadata_location == table.metadata_location
    # old table should be dropped
    with pytest.raises(NoSuchTableError):
        test_catalog.load_table(identifier)
    with pytest.raises(NoSuchTableError):
        test_catalog.load_table(table.name())


@mock_aws
def test_rename_table_no_params(
    _glue: boto3.client, _bucket_initialize: None, moto_endpoint_url: str, database_name: str, table_name: str
) -> None:
    new_database_name = f"{database_name}_new"
    new_table_name = f"{table_name}_new"
    identifier = (database_name, table_name)
    new_identifier = (new_database_name, new_table_name)
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    test_catalog.create_namespace(namespace=new_database_name)
    _glue.create_table(
        DatabaseName=database_name,
        TableInput={"Name": table_name, "TableType": "EXTERNAL_TABLE", "Parameters": {"table_type": "iceberg"}},
    )
    with pytest.raises(NoSuchPropertyException):
        test_catalog.rename_table(identifier, new_identifier)


@mock_aws
def test_rename_non_iceberg_table(
    _glue: boto3.client, _bucket_initialize: None, moto_endpoint_url: str, database_name: str, table_name: str
) -> None:
    new_database_name = f"{database_name}_new"
    new_table_name = f"{table_name}_new"
    identifier = (database_name, table_name)
    new_identifier = (new_database_name, new_table_name)
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    test_catalog.create_namespace(namespace=new_database_name)
    _glue.create_table(
        DatabaseName=database_name,
        TableInput={
            "Name": table_name,
            "TableType": "EXTERNAL_TABLE",
            "Parameters": {"table_type": "noniceberg", "metadata_location": "test"},
        },
    )
    with pytest.raises(NoSuchIcebergTableError):
        test_catalog.rename_table(identifier, new_identifier)


@mock_aws
def test_list_tables(
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_list: list[str],
) -> None:
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)

    non_iceberg_table_name = "non_iceberg_table"
    non_table_type_table_name = "non_table_type_table"
    glue_client = boto3.client("glue", endpoint_url=moto_endpoint_url)
    glue_client.create_table(
        DatabaseName=database_name,
        TableInput={
            "Name": non_iceberg_table_name,
            "TableType": "EXTERNAL_TABLE",
            "Parameters": {"table_type": "noniceberg"},
        },
    )
    glue_client.create_table(
        DatabaseName=database_name,
        TableInput={
            "Name": non_table_type_table_name,
            "TableType": "OTHER_TABLE_TYPE",
            "Parameters": {},
        },
    )

    for table_name in table_list:
        test_catalog.create_table((database_name, table_name), table_schema_nested)
    loaded_table_list = test_catalog.list_tables(database_name)

    assert (database_name, non_iceberg_table_name) not in loaded_table_list
    assert (database_name, non_table_type_table_name) not in loaded_table_list
    for table_name in table_list:
        assert (database_name, table_name) in loaded_table_list


@mock_aws
def test_list_namespaces(_bucket_initialize: None, moto_endpoint_url: str, database_list: list[str]) -> None:
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    for database_name in database_list:
        test_catalog.create_namespace(namespace=database_name)
    loaded_database_list = test_catalog.list_namespaces()
    for database_name in database_list:
        assert (database_name,) in loaded_database_list


@mock_aws
def test_create_namespace_no_properties(_bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name)
    loaded_database_list = test_catalog.list_namespaces()
    assert len(loaded_database_list) == 1
    assert (database_name,) in loaded_database_list
    properties = test_catalog.load_namespace_properties(database_name)
    assert properties == {}


@mock_aws
def test_create_namespace_with_comment_and_location(_bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:
    test_location = f"s3://{BUCKET_NAME}/{database_name}.db"
    test_properties = {
        "comment": "this is a test description",
        "location": test_location,
    }
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name, properties=test_properties)
    loaded_database_list = test_catalog.list_namespaces()
    assert len(loaded_database_list) == 1
    assert (database_name,) in loaded_database_list
    properties = test_catalog.load_namespace_properties(database_name)
    assert properties["comment"] == "this is a test description"
    assert properties["location"] == test_location


@mock_aws
def test_create_duplicated_namespace(_bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name)
    loaded_database_list = test_catalog.list_namespaces()
    assert len(loaded_database_list) == 1
    assert (database_name,) in loaded_database_list
    with pytest.raises(NamespaceAlreadyExistsError):
        test_catalog.create_namespace(namespace=database_name, properties={"test": "test"})


@mock_aws
def test_drop_namespace(_bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(namespace=database_name)
    loaded_database_list = test_catalog.list_namespaces()
    assert len(loaded_database_list) == 1
    assert (database_name,) in loaded_database_list
    test_catalog.drop_namespace(database_name)
    loaded_database_list = test_catalog.list_namespaces()
    assert len(loaded_database_list) == 0


@mock_aws
def test_drop_non_empty_namespace(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    test_catalog.create_table(identifier, table_schema_nested)
    assert len(test_catalog.list_tables(database_name)) == 1
    with pytest.raises(NamespaceNotEmptyError):
        test_catalog.drop_namespace(database_name)


@mock_aws
def test_drop_namespace_that_contains_non_iceberg_tables(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_nested: Schema, database_name: str, table_name: str
) -> None:
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}/"})
    test_catalog.create_namespace(namespace=database_name)
    test_catalog.glue.create_table(DatabaseName=database_name, TableInput={"Name": "hive_table"})

    with pytest.raises(NamespaceNotEmptyError):
        test_catalog.drop_namespace(database_name)


@mock_aws
def test_drop_non_exist_namespace(_bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    with pytest.raises(NoSuchNamespaceError):
        test_catalog.drop_namespace(database_name)


@mock_aws
def test_load_namespace_properties(_bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:
    test_location = f"s3://{BUCKET_NAME}/{database_name}.db"
    test_properties = {
        "comment": "this is a test description",
        "location": test_location,
        "test_property1": "1",
        "test_property2": "2",
        "test_property3": "3",
    }
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(database_name, test_properties)
    listed_properties = test_catalog.load_namespace_properties(database_name)
    for k, v in listed_properties.items():
        assert k in test_properties
        assert v == test_properties[k]


@mock_aws
def test_load_non_exist_namespace_properties(_bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    with pytest.raises(NoSuchNamespaceError):
        test_catalog.load_namespace_properties(database_name)


@mock_aws
def test_update_namespace_properties(_bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:
    test_properties = {
        "comment": "this is a test description",
        "location": f"s3://{BUCKET_NAME}/{database_name}.db",
        "test_property1": "1",
        "test_property2": "2",
        "test_property3": "3",
    }
    removals = {"test_property1", "test_property2", "test_property3", "should_not_removed"}
    updates = {"test_property4": "4", "test_property5": "5", "comment": "updated test description"}
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(database_name, test_properties)
    update_report = test_catalog.update_namespace_properties(database_name, removals, updates)
    for k in updates.keys():
        assert k in update_report.updated
    for k in removals:
        if k == "should_not_removed":
            assert k in update_report.missing
        else:
            assert k in update_report.removed
    assert "updated test description" == test_catalog.load_namespace_properties(database_name)["comment"]
    test_catalog.drop_namespace(database_name)


@mock_aws
def test_load_empty_namespace_properties(_bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(database_name)
    listed_properties = test_catalog.load_namespace_properties(database_name)
    assert listed_properties == {}


@mock_aws
def test_load_default_namespace_properties(_glue, _bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:  # type: ignore
    # simulate creating database with default settings through AWS Glue Web Console
    _glue.create_database(DatabaseInput={"Name": database_name})
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    listed_properties = test_catalog.load_namespace_properties(database_name)
    assert listed_properties == {}


@mock_aws
def test_update_namespace_properties_overlap_update_removal(
    _bucket_initialize: None, moto_endpoint_url: str, database_name: str
) -> None:
    test_properties = {
        "comment": "this is a test description",
        "location": f"s3://{BUCKET_NAME}/{database_name}.db",
        "test_property1": "1",
        "test_property2": "2",
        "test_property3": "3",
    }
    removals = {"test_property1", "test_property2", "test_property3", "should_not_removed"}
    updates = {"test_property1": "4", "test_property5": "5", "comment": "updated test description"}
    test_catalog = GlueCatalog("glue", **{"s3.endpoint": moto_endpoint_url})
    test_catalog.create_namespace(database_name, test_properties)
    with pytest.raises(ValueError):
        test_catalog.update_namespace_properties(database_name, removals, updates)
    # should not modify the properties
    assert test_catalog.load_namespace_properties(database_name) == test_properties


@mock_aws
def test_passing_glue_session_properties() -> None:
    session_properties: Properties = {
        "glue.access-key-id": "glue.access-key-id",
        "glue.secret-access-key": "glue.secret-access-key",
        "glue.profile-name": "glue.profile-name",
        "glue.region": "glue.region",
        "glue.session-token": "glue.session-token",
        **UNIFIED_AWS_SESSION_PROPERTIES,
    }

    with mock.patch("boto3.Session") as mock_session:
        test_catalog = GlueCatalog("glue", **session_properties)

    mock_session.assert_called_with(
        aws_access_key_id="glue.access-key-id",
        aws_secret_access_key="glue.secret-access-key",
        aws_session_token="glue.session-token",
        region_name="glue.region",
        profile_name="glue.profile-name",
        botocore_session=None,
    )
    assert test_catalog.glue is mock_session().client()


@mock_aws
def test_passing_unified_session_properties_to_glue() -> None:
    session_properties: Properties = {
        "glue.profile-name": "glue.profile-name",
        **UNIFIED_AWS_SESSION_PROPERTIES,
    }

    with mock.patch("boto3.Session") as mock_session:
        test_catalog = GlueCatalog("glue", **session_properties)

    mock_session.assert_called_with(
        aws_access_key_id="client.access-key-id",
        aws_secret_access_key="client.secret-access-key",
        aws_session_token="client.session-token",
        region_name="client.region",
        profile_name="glue.profile-name",
        botocore_session=None,
    )
    assert test_catalog.glue is mock_session().client()


@mock_aws
def test_commit_table_update_schema(
    _glue: boto3.client,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}"})
    test_catalog.create_namespace(namespace=database_name)
    table = test_catalog.create_table(identifier, table_schema_nested)
    original_table_metadata = table.metadata
    original_table_metadata_location = table.metadata_location
    original_table_last_updated_ms = table.metadata.last_updated_ms

    assert TABLE_METADATA_LOCATION_REGEX.match(original_table_metadata_location)
    assert test_catalog._parse_metadata_version(original_table_metadata_location) == 0
    assert original_table_metadata.current_schema_id == 0
    assert len(original_table_metadata.metadata_log) == 0

    transaction = table.transaction()
    update = transaction.update_schema()
    update.add_column(path="b", field_type=IntegerType())
    update.commit()
    transaction.commit_transaction()

    updated_table_metadata = table.metadata

    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 1
    assert updated_table_metadata.current_schema_id == 1
    assert len(updated_table_metadata.schemas) == 2
    new_schema = next(schema for schema in updated_table_metadata.schemas if schema.schema_id == 1)
    assert new_schema
    assert new_schema == update._apply()
    assert new_schema.find_field("b").field_type == IntegerType()
    assert len(updated_table_metadata.metadata_log) == 1
    assert updated_table_metadata.metadata_log[0].metadata_file == original_table_metadata_location
    assert updated_table_metadata.metadata_log[0].timestamp_ms == original_table_last_updated_ms

    # Ensure schema is also pushed to Glue
    table_info = _glue.get_table(
        DatabaseName=database_name,
        Name=table_name,
    )
    storage_descriptor = table_info["Table"]["StorageDescriptor"]
    columns = storage_descriptor["Columns"]
    assert len(columns) == len(table_schema_nested.fields) + 1
    assert columns[-1] == {
        "Name": "b",
        "Type": "int",
        "Parameters": {"iceberg.field.id": "18", "iceberg.field.optional": "true", "iceberg.field.current": "true"},
    }
    assert storage_descriptor["Location"] == f"s3://{BUCKET_NAME}/{database_name}.db/{table_name}"


@mock_aws
def test_commit_table_properties(
    _glue: boto3.client,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}"})
    test_catalog.create_namespace(namespace=database_name)
    table = test_catalog.create_table(identifier=identifier, schema=table_schema_nested, properties={"test_a": "test_a"})

    assert test_catalog._parse_metadata_version(table.metadata_location) == 0

    transaction = table.transaction()
    transaction.set_properties(test_a="test_aa", test_b="test_b", test_c="test_c", Description="test_description")
    transaction.remove_properties("test_b")
    transaction.commit_transaction()

    updated_table_metadata = table.metadata
    assert test_catalog._parse_metadata_version(table.metadata_location) == 1
    assert updated_table_metadata.properties == {"Description": "test_description", "test_a": "test_aa", "test_c": "test_c"}

    table_info = _glue.get_table(
        DatabaseName=database_name,
        Name=table_name,
    )
    assert table_info["Table"]["Description"] == "test_description"
    assert table_info["Table"]["Parameters"]["test_a"] == "test_aa"
    assert table_info["Table"]["Parameters"]["test_c"] == "test_c"


@mock_aws
def test_commit_append_table_snapshot_properties(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_simple: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}"})
    test_catalog.create_namespace(namespace=database_name)
    table = test_catalog.create_table(identifier=identifier, schema=table_schema_simple)

    assert test_catalog._parse_metadata_version(table.metadata_location) == 0

    table.append(
        pa.Table.from_pylist(
            [{"foo": "foo_val", "bar": 1, "baz": False}],
            schema=schema_to_pyarrow(table_schema_simple),
        ),
        snapshot_properties={"snapshot_prop_a": "test_prop_a"},
    )

    updated_table_metadata = table.metadata
    summary = updated_table_metadata.snapshots[-1].summary
    assert test_catalog._parse_metadata_version(table.metadata_location) == 1
    assert summary is not None
    assert summary["snapshot_prop_a"] == "test_prop_a"


@mock_aws
def test_commit_overwrite_table_snapshot_properties(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_simple: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}"})
    test_catalog.create_namespace(namespace=database_name)
    table = test_catalog.create_table(identifier=identifier, schema=table_schema_simple)

    assert test_catalog._parse_metadata_version(table.metadata_location) == 0

    table.append(
        pa.Table.from_pylist(
            [{"foo": "foo_val", "bar": 1, "baz": False}],
            schema=schema_to_pyarrow(table_schema_simple),
        ),
        snapshot_properties={"snapshot_prop_a": "test_prop_a"},
    )

    assert test_catalog._parse_metadata_version(table.metadata_location) == 1

    table.overwrite(
        pa.Table.from_pylist(
            [{"foo": "foo_val", "bar": 2, "baz": True}],
            schema=schema_to_pyarrow(table_schema_simple),
        ),
        snapshot_properties={"snapshot_prop_b": "test_prop_b"},
    )

    updated_table_metadata = table.metadata
    summary = updated_table_metadata.snapshots[-1].summary
    assert test_catalog._parse_metadata_version(table.metadata_location) == 2
    assert summary is not None
    assert summary["snapshot_prop_a"] is None
    assert summary["snapshot_prop_b"] == "test_prop_b"
    assert len(updated_table_metadata.metadata_log) == 2


@mock_aws
@pytest.mark.parametrize("format_version", [1, 2])
def test_create_table_transaction(
    _glue: boto3.client,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
    format_version: int,
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}"})
    test_catalog.create_namespace(namespace=database_name)

    with test_catalog.create_table_transaction(
        identifier,
        table_schema_nested,
        partition_spec=PartitionSpec(PartitionField(source_id=1, field_id=1000, transform=IdentityTransform(), name="foo")),
        properties={"format-version": format_version},
    ) as txn:
        last_updated_metadata = txn.table_metadata.last_updated_ms
        with txn.update_schema() as update_schema:
            update_schema.add_column(path="b", field_type=IntegerType())

        with txn.update_spec() as update_spec:
            update_spec.add_identity("bar")

        txn.set_properties(test_a="test_aa", test_b="test_b", test_c="test_c")

    table = test_catalog.load_table(identifier)

    assert TABLE_METADATA_LOCATION_REGEX.match(table.metadata_location)
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0
    assert table.format_version == format_version
    assert table.schema().find_field("b").field_type == IntegerType()
    assert table.properties == {"test_a": "test_aa", "test_b": "test_b", "test_c": "test_c"}
    assert table.spec().last_assigned_field_id == 1001
    assert table.spec().fields_by_source_id(1)[0].name == "foo"
    assert table.spec().fields_by_source_id(1)[0].field_id == 1000
    assert table.spec().fields_by_source_id(1)[0].transform == IdentityTransform()
    assert table.spec().fields_by_source_id(2)[0].name == "bar"
    assert table.spec().fields_by_source_id(2)[0].field_id == 1001
    assert table.spec().fields_by_source_id(2)[0].transform == IdentityTransform()
    assert table.metadata.last_updated_ms > last_updated_metadata


@mock_aws
def test_table_exists(
    _bucket_initialize: None, moto_endpoint_url: str, table_schema_simple: Schema, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}"})
    test_catalog.create_namespace(namespace=database_name)
    test_catalog.create_table(identifier=identifier, schema=table_schema_simple)
    # Act and Assert for an existing table
    assert test_catalog.table_exists(identifier) is True
    # Act and Assert for a non-existing table
    assert test_catalog.table_exists(("non", "exist")) is False


@mock_aws
def test_register_table_with_given_location(
    _bucket_initialize: None, moto_endpoint_url: str, metadata_location: str, database_name: str, table_name: str
) -> None:
    catalog_name = "glue"
    identifier = (database_name, table_name)
    location = metadata_location
    test_catalog = GlueCatalog(catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}"})
    test_catalog.create_namespace(namespace=database_name, properties={"location": f"s3://{BUCKET_NAME}/{database_name}.db"})
    table = test_catalog.register_table(identifier, location)
    assert table.name() == identifier
    assert test_catalog.table_exists(identifier) is True


@mock_aws
def test_glue_endpoint_override(_bucket_initialize: None, moto_endpoint_url: str, database_name: str) -> None:
    catalog_name = "glue"
    test_endpoint = "https://test-endpoint"
    test_catalog = GlueCatalog(
        catalog_name, **{"s3.endpoint": moto_endpoint_url, "warehouse": f"s3://{BUCKET_NAME}", "glue.endpoint": test_endpoint}
    )
    assert test_catalog.glue.meta.endpoint_url == test_endpoint


@mock_aws
def test_glue_client_override() -> None:
    catalog_name = "glue"
    test_client = boto3.client("glue", region_name="us-west-2")
    test_catalog = GlueCatalog(catalog_name, test_client)
    assert test_catalog.glue is test_client


def _create_s3tables_database(catalog: GlueCatalog, database_name: str) -> None:
    """Create a Glue database with S3 Tables federation metadata."""
    catalog.glue.create_database(
        DatabaseInput={
            "Name": database_name,
            "FederatedDatabase": {
                "Identifier": "arn:aws:s3tables:us-east-1:123456789012:bucket/my-bucket",
                "ConnectionType": GLUE_CONNECTION_S3_TABLES,
            },
        }
    )


@mock_aws
def test_create_table_s3tables(
    monkeypatch: pytest.MonkeyPatch,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    _patch_moto_for_s3tables(monkeypatch)

    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("s3tables", **{"s3.endpoint": moto_endpoint_url})
    _create_s3tables_database(test_catalog, database_name)

    table = test_catalog.create_table(identifier, table_schema_nested)
    assert table.name() == identifier
    assert table.location() == f"s3://{S3TABLES_WAREHOUSE_LOCATION}/{database_name}/{table_name}"
    assert table.metadata_location.startswith(f"s3://{S3TABLES_WAREHOUSE_LOCATION}/{database_name}/{table_name}/metadata/00000-")
    assert table.metadata_location.endswith(".metadata.json")
    assert test_catalog._parse_metadata_version(table.metadata_location) == 0


@mock_aws
def test_create_table_s3tables_rejects_location(
    monkeypatch: pytest.MonkeyPatch,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    _patch_moto_for_s3tables(monkeypatch)

    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("s3tables", **{"s3.endpoint": moto_endpoint_url})
    _create_s3tables_database(test_catalog, database_name)

    with pytest.raises(ValueError, match="Cannot specify a location for S3 Tables table"):
        test_catalog.create_table(identifier, table_schema_nested, location="s3://some-bucket/some-path")


@mock_aws
def test_create_table_s3tables_duplicate(
    monkeypatch: pytest.MonkeyPatch,
    _bucket_initialize: None,
    moto_endpoint_url: str,
    table_schema_nested: Schema,
    database_name: str,
    table_name: str,
) -> None:
    _patch_moto_for_s3tables(monkeypatch)

    identifier = (database_name, table_name)
    test_catalog = GlueCatalog("s3tables", **{"s3.endpoint": moto_endpoint_url})
    _create_s3tables_database(test_catalog, database_name)

    test_catalog.create_table(identifier, table_schema_nested)
    with pytest.raises(TableAlreadyExistsError):
        test_catalog.create_table(identifier, table_schema_nested)