You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2022/10/29 09:03:37 UTC

[GitHub] [iceberg] singhpk234 commented on a diff in pull request #6034: Python: GlueCatalog Full Implementation

singhpk234 commented on code in PR #6034:
URL: https://github.com/apache/iceberg/pull/6034#discussion_r1008659414


##########
python/pyiceberg/catalog/glue.py:
##########
@@ -0,0 +1,453 @@
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+
+
+import uuid
+from typing import (
+    Any,
+    Dict,
+    List,
+    Optional,
+    Set,
+    Union,
+)
+
+import boto3
+
+from pyiceberg.catalog import (
+    Catalog,
+    Identifier,
+    Properties,
+    PropertiesUpdateSummary,
+)
+from pyiceberg.catalog.base import (
+    ICEBERG,
+    METADATA_LOCATION,
+    TABLE_TYPE,
+    WAREHOUSE,
+)
+from pyiceberg.exceptions import (
+    NamespaceAlreadyExistsError,
+    NamespaceNotEmptyError,
+    NoSuchIcebergTableError,
+    NoSuchNamespaceError,
+    NoSuchPropertyException,
+    NoSuchTableError,
+    TableAlreadyExistsError,
+)
+from pyiceberg.io import FileIO, load_file_io
+from pyiceberg.schema import Schema
+from pyiceberg.serializers import FromInputFile, ToOutputFile
+from pyiceberg.table import Table
+from pyiceberg.table.metadata import TableMetadata, new_table_metadata
+from pyiceberg.table.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec
+from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder
+from pyiceberg.typedef import EMPTY_DICT
+
+EXTERNAL_TABLE_TYPE = "EXTERNAL_TABLE"
+
+PROP_GLUE_TABLE = "Table"
+PROP_GLUE_TABLE_TYPE = "TableType"
+PROP_GLUE_TABLE_DESCRIPTION = "description"
+PROP_GLUE_TABLE_PARAMETERS = "Parameters"
+PROP_GLUE_TABLE_DATABASE_NAME = "DatabaseName"
+PROP_GLUE_TABLE_NAME = "Name"
+
+PROP_GLUE_TABLELIST = "TableList"
+
+PROP_GLUE_DATABASE = "Database"
+PROP_GLUE_DATABASE_LIST = "DatabaseList"
+PROP_GLUE_DATABASE_NAME = "Name"
+PROP_GLUE_DATABASE_LOCATION = "LocationUri"
+PROP_GLUE_DATABASE_DESCRIPTION = "Description"
+PROP_GLUE_DATABASE_PARAMETERS = "Parameters"
+
+PROP_GLUE_NEXT_TOKEN = "NextToken"
+
+GLUE_DESCRIPTION_KEY = "comment"
+GLUE_DATABASE_LOCATION_KEY = "location"
+
+
+def _construct_parameters(metadata_location: str) -> Properties:
+    return {TABLE_TYPE: ICEBERG.upper(), METADATA_LOCATION: metadata_location}
+
+
+def _construct_table_input(table_name: str, metadata_location: str, properties: Properties) -> Dict[str, Any]:
+    table_input = {
+        PROP_GLUE_TABLE_NAME: table_name,
+        PROP_GLUE_TABLE_TYPE: EXTERNAL_TABLE_TYPE,
+        PROP_GLUE_TABLE_PARAMETERS: _construct_parameters(metadata_location),
+    }
+
+    if table_description := properties.get(GLUE_DESCRIPTION_KEY):
+        table_input[PROP_GLUE_TABLE_DESCRIPTION] = table_description
+
+    return table_input
+
+
+def _construct_database_input(database_name: str, properties: Properties) -> Dict[str, Any]:
+    database_input: Dict[str, Any] = {PROP_GLUE_DATABASE_NAME: database_name}
+    parameters = {}
+    for k, v in properties.items():
+        if k == GLUE_DESCRIPTION_KEY:
+            database_input[PROP_GLUE_DATABASE_DESCRIPTION] = v
+        if k == GLUE_DATABASE_LOCATION_KEY:

Review Comment:
   [minor] elif ? 



##########
python/pyiceberg/catalog/glue.py:
##########
@@ -0,0 +1,453 @@
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+
+
+import uuid
+from typing import (
+    Any,
+    Dict,
+    List,
+    Optional,
+    Set,
+    Union,
+)
+
+import boto3
+
+from pyiceberg.catalog import (
+    Catalog,
+    Identifier,
+    Properties,
+    PropertiesUpdateSummary,
+)
+from pyiceberg.catalog.base import (
+    ICEBERG,
+    METADATA_LOCATION,
+    TABLE_TYPE,
+    WAREHOUSE,
+)
+from pyiceberg.exceptions import (
+    NamespaceAlreadyExistsError,
+    NamespaceNotEmptyError,
+    NoSuchIcebergTableError,
+    NoSuchNamespaceError,
+    NoSuchPropertyException,
+    NoSuchTableError,
+    TableAlreadyExistsError,
+)
+from pyiceberg.io import FileIO, load_file_io
+from pyiceberg.schema import Schema
+from pyiceberg.serializers import FromInputFile, ToOutputFile
+from pyiceberg.table import Table
+from pyiceberg.table.metadata import TableMetadata, new_table_metadata
+from pyiceberg.table.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec
+from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder
+from pyiceberg.typedef import EMPTY_DICT
+
+EXTERNAL_TABLE_TYPE = "EXTERNAL_TABLE"
+
+PROP_GLUE_TABLE = "Table"
+PROP_GLUE_TABLE_TYPE = "TableType"
+PROP_GLUE_TABLE_DESCRIPTION = "description"
+PROP_GLUE_TABLE_PARAMETERS = "Parameters"
+PROP_GLUE_TABLE_DATABASE_NAME = "DatabaseName"
+PROP_GLUE_TABLE_NAME = "Name"
+
+PROP_GLUE_TABLELIST = "TableList"
+
+PROP_GLUE_DATABASE = "Database"
+PROP_GLUE_DATABASE_LIST = "DatabaseList"
+PROP_GLUE_DATABASE_NAME = "Name"
+PROP_GLUE_DATABASE_LOCATION = "LocationUri"
+PROP_GLUE_DATABASE_DESCRIPTION = "Description"
+PROP_GLUE_DATABASE_PARAMETERS = "Parameters"
+
+PROP_GLUE_NEXT_TOKEN = "NextToken"
+
+GLUE_DESCRIPTION_KEY = "comment"
+GLUE_DATABASE_LOCATION_KEY = "location"
+
+
+def _construct_parameters(metadata_location: str) -> Properties:
+    return {TABLE_TYPE: ICEBERG.upper(), METADATA_LOCATION: metadata_location}
+
+
+def _construct_table_input(table_name: str, metadata_location: str, properties: Properties) -> Dict[str, Any]:
+    table_input = {
+        PROP_GLUE_TABLE_NAME: table_name,
+        PROP_GLUE_TABLE_TYPE: EXTERNAL_TABLE_TYPE,
+        PROP_GLUE_TABLE_PARAMETERS: _construct_parameters(metadata_location),
+    }
+
+    if table_description := properties.get(GLUE_DESCRIPTION_KEY):
+        table_input[PROP_GLUE_TABLE_DESCRIPTION] = table_description
+
+    return table_input
+
+
+def _construct_database_input(database_name: str, properties: Properties) -> Dict[str, Any]:
+    database_input: Dict[str, Any] = {PROP_GLUE_DATABASE_NAME: database_name}
+    parameters = {}
+    for k, v in properties.items():
+        if k == GLUE_DESCRIPTION_KEY:
+            database_input[PROP_GLUE_DATABASE_DESCRIPTION] = v
+        if k == GLUE_DATABASE_LOCATION_KEY:
+            database_input[PROP_GLUE_DATABASE_LOCATION] = v
+        else:
+            parameters[k] = v
+    database_input[PROP_GLUE_DATABASE_PARAMETERS] = parameters
+    return database_input
+
+
+def _write_metadata(metadata: TableMetadata, io: FileIO, metadate_path: str):
+    ToOutputFile.table_metadata(metadata, io.new_output(metadate_path))
+
+
+class GlueCatalog(Catalog):
+    def __init__(self, name: str, **properties: str):
+        super().__init__(name, **properties)
+        self.glue = boto3.client("glue")
+
+    def _convert_glue_to_iceberg(self, glue_table: Dict[str, Any]) -> Table:
+        properties: Properties = glue_table[PROP_GLUE_TABLE_PARAMETERS]
+
+        if TABLE_TYPE not in properties:
+            raise NoSuchPropertyException(
+                f"Property {TABLE_TYPE} missing, could not determine type: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        glue_table_type = properties[TABLE_TYPE]
+
+        if glue_table_type.lower() != ICEBERG:
+            raise NoSuchIcebergTableError(
+                f"Property table_type is {glue_table_type}, expected {ICEBERG}: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+
+        if METADATA_LOCATION not in properties:
+            raise NoSuchPropertyException(
+                f"Table property {METADATA_LOCATION} is missing, cannot find metadata for: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        metadata_location = properties[METADATA_LOCATION]
+
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        file = io.new_input(metadata_location)
+        metadata = FromInputFile.table_metadata(file)
+        return Table(
+            identifier=(glue_table[PROP_GLUE_TABLE_DATABASE_NAME], glue_table[PROP_GLUE_TABLE_NAME]),
+            metadata=metadata,
+            metadata_location=metadata_location,
+        )
+
+    def _default_warehouse_location(self, database_name: str, table_name: str):
+        try:
+            response = self.glue.get_database(Name=database_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"The database: {database_name} does not exist") from e
+
+        if database_location := response.get(PROP_GLUE_DATABASE).get(PROP_GLUE_DATABASE_LOCATION):
+            return f"{database_location}/{table_name}"
+
+        if WAREHOUSE in self.properties:
+            return f"{self.properties[WAREHOUSE]}/{database_name}.db/{table_name}"
+
+        raise ValueError("No default path is set, please specify a location when creating a table")
+
+    def _resolve_table_location(self, location: Optional[str], database_name: str, table_name: str) -> str:
+        if not location:
+            return self._default_warehouse_location(database_name, table_name)
+        return location
+
+    def create_table(
+        self,
+        identifier: Union[str, Identifier],
+        schema: Schema,
+        location: Optional[str] = None,
+        partition_spec: PartitionSpec = UNPARTITIONED_PARTITION_SPEC,
+        sort_order: SortOrder = UNSORTED_SORT_ORDER,
+        properties: Properties = EMPTY_DICT,
+    ) -> Table:
+        """Create an Iceberg table in Glue catalog
+        Args:
+            identifier: Table identifier.
+            schema: Table's schema.
+            location: Location for the table. Optional Argument.
+            partition_spec: PartitionSpec for the table.
+            sort_order: SortOrder for the table.
+            properties: Table properties that can be a string based dictionary.
+        Returns:
+            Table: the created table instance
+        Raises:
+            AlreadyExistsError: If a table with the name already exists
+            ValueError: If the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+
+        location = self._resolve_table_location(location, database_name, table_name)
+        metadata_location = f"{location}/metadata/00000-{uuid.uuid4()}.metadata.json"
+        metadata = new_table_metadata(
+            location=location, schema=schema, partition_spec=partition_spec, sort_order=sort_order, properties=properties
+        )
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        _write_metadata(metadata, io, metadata_location)
+        try:
+            self.glue.create_table(
+                DatabaseName=database_name, TableInput=_construct_table_input(table_name, metadata_location, properties)
+            )
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise TableAlreadyExistsError(f"Table {database_name}.{table_name} already exists") from e
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"Database {database_name} not found") from e
+
+        try:
+            loaded_table = self.load_table(identifier=(database_name, table_name))
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table {database_name}.{table_name} fail to be created") from e
+
+        return loaded_table
+
+    def load_table(self, identifier: Union[str, Identifier]) -> Table:
+        """Loads the table's metadata and returns the table instance.
+        You can also use this method to check for table existence using 'try catalog.table() except TableNotFoundError'
+        Note: This method doesn't scan data stored in the table.
+        Args:
+            identifier: Table identifier.
+        Returns:
+            Table: the table instance with its metadata
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            load_table_response = self.glue.get_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+        return self._convert_glue_to_iceberg(load_table_response[PROP_GLUE_TABLE])
+
+    def drop_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table.
+
+        Args:
+            identifier: Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            self.glue.delete_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+    def purge_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table and purge all data and metadata files. AWS glue will asynchronously delete resource
+        belongs to the table once the table is deleted
+
+        Args:
+            identifier (str | Identifier): Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist
+        """
+        self.drop_table(identifier)
+
+    def rename_table(self, from_identifier: Union[str, Identifier], to_identifier: Union[str, Identifier]) -> Table:
+        """Rename a fully classified table name
+
+        Args:
+            from_identifier: Existing table identifier.
+            to_identifier: New table identifier.
+
+        Returns:
+            Table: the updated table instance with its metadata
+
+        Raises:
+            ValueError: When the from table identifier is invalid
+            NoSuchTableError: When a table with the name does not exist
+            NoSuchNamespaceError: When the destination namespace doesn't exists
+        """
+        from_database_name, from_table_name = self.identifier_to_tuple(from_identifier)
+        to_database_name, to_table_name = self.identifier_to_tuple(to_identifier)
+        try:
+            get_table_response = self.glue.get_table(DatabaseName=from_database_name, Name=from_table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {from_database_name}.{from_table_name}") from e
+
+        table_input = get_table_response[PROP_GLUE_TABLE]
+        table_input[PROP_GLUE_TABLE_NAME] = to_table_name
+        new_input = _construct_table_input(to_table_name, table_input[PROP_GLUE_TABLE_PARAMETERS][METADATA_LOCATION], {})
+
+        try:
+            self.glue.create_table(DatabaseName=to_database_name, TableInput=new_input)
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise TableAlreadyExistsError(f"Table {to_database_name}.{to_table_name} already exists") from e
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"Database {to_database_name} not found") from e
+
+        try:
+            self.drop_table(from_identifier)
+        except Exception as e:
+            self.drop_table(to_identifier)
+            raise ValueError(
+                f"Fail to drop old table {from_database_name}.{from_table_name}, roll back to use the old one"

Review Comment:
   should we say drop old table failed post renaming to {new table} roll  back to the old one, for clarity ? 
   ```java
         LOG.error(
             "Fail to drop old table {} after renaming to {}, rollback to use the old table",
             from,
             to,
             e);
   ```



##########
python/pyiceberg/catalog/glue.py:
##########
@@ -0,0 +1,453 @@
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+
+
+import uuid
+from typing import (
+    Any,
+    Dict,
+    List,
+    Optional,
+    Set,
+    Union,
+)
+
+import boto3
+
+from pyiceberg.catalog import (
+    Catalog,
+    Identifier,
+    Properties,
+    PropertiesUpdateSummary,
+)
+from pyiceberg.catalog.base import (
+    ICEBERG,
+    METADATA_LOCATION,
+    TABLE_TYPE,
+    WAREHOUSE,
+)
+from pyiceberg.exceptions import (
+    NamespaceAlreadyExistsError,
+    NamespaceNotEmptyError,
+    NoSuchIcebergTableError,
+    NoSuchNamespaceError,
+    NoSuchPropertyException,
+    NoSuchTableError,
+    TableAlreadyExistsError,
+)
+from pyiceberg.io import FileIO, load_file_io
+from pyiceberg.schema import Schema
+from pyiceberg.serializers import FromInputFile, ToOutputFile
+from pyiceberg.table import Table
+from pyiceberg.table.metadata import TableMetadata, new_table_metadata
+from pyiceberg.table.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec
+from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder
+from pyiceberg.typedef import EMPTY_DICT
+
+EXTERNAL_TABLE_TYPE = "EXTERNAL_TABLE"
+
+PROP_GLUE_TABLE = "Table"
+PROP_GLUE_TABLE_TYPE = "TableType"
+PROP_GLUE_TABLE_DESCRIPTION = "description"
+PROP_GLUE_TABLE_PARAMETERS = "Parameters"
+PROP_GLUE_TABLE_DATABASE_NAME = "DatabaseName"
+PROP_GLUE_TABLE_NAME = "Name"
+
+PROP_GLUE_TABLELIST = "TableList"
+
+PROP_GLUE_DATABASE = "Database"
+PROP_GLUE_DATABASE_LIST = "DatabaseList"
+PROP_GLUE_DATABASE_NAME = "Name"
+PROP_GLUE_DATABASE_LOCATION = "LocationUri"
+PROP_GLUE_DATABASE_DESCRIPTION = "Description"
+PROP_GLUE_DATABASE_PARAMETERS = "Parameters"
+
+PROP_GLUE_NEXT_TOKEN = "NextToken"
+
+GLUE_DESCRIPTION_KEY = "comment"
+GLUE_DATABASE_LOCATION_KEY = "location"
+
+
+def _construct_parameters(metadata_location: str) -> Properties:
+    return {TABLE_TYPE: ICEBERG.upper(), METADATA_LOCATION: metadata_location}
+
+
+def _construct_table_input(table_name: str, metadata_location: str, properties: Properties) -> Dict[str, Any]:
+    table_input = {
+        PROP_GLUE_TABLE_NAME: table_name,
+        PROP_GLUE_TABLE_TYPE: EXTERNAL_TABLE_TYPE,
+        PROP_GLUE_TABLE_PARAMETERS: _construct_parameters(metadata_location),
+    }
+
+    if table_description := properties.get(GLUE_DESCRIPTION_KEY):
+        table_input[PROP_GLUE_TABLE_DESCRIPTION] = table_description
+
+    return table_input
+
+
+def _construct_database_input(database_name: str, properties: Properties) -> Dict[str, Any]:
+    database_input: Dict[str, Any] = {PROP_GLUE_DATABASE_NAME: database_name}
+    parameters = {}
+    for k, v in properties.items():
+        if k == GLUE_DESCRIPTION_KEY:
+            database_input[PROP_GLUE_DATABASE_DESCRIPTION] = v
+        if k == GLUE_DATABASE_LOCATION_KEY:
+            database_input[PROP_GLUE_DATABASE_LOCATION] = v
+        else:
+            parameters[k] = v
+    database_input[PROP_GLUE_DATABASE_PARAMETERS] = parameters
+    return database_input
+
+
+def _write_metadata(metadata: TableMetadata, io: FileIO, metadate_path: str):
+    ToOutputFile.table_metadata(metadata, io.new_output(metadate_path))
+
+
+class GlueCatalog(Catalog):
+    def __init__(self, name: str, **properties: str):
+        super().__init__(name, **properties)
+        self.glue = boto3.client("glue")
+
+    def _convert_glue_to_iceberg(self, glue_table: Dict[str, Any]) -> Table:
+        properties: Properties = glue_table[PROP_GLUE_TABLE_PARAMETERS]
+
+        if TABLE_TYPE not in properties:
+            raise NoSuchPropertyException(
+                f"Property {TABLE_TYPE} missing, could not determine type: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        glue_table_type = properties[TABLE_TYPE]
+
+        if glue_table_type.lower() != ICEBERG:

Review Comment:
   should we handle a case where the glue_table_type is empty ? 



##########
python/pyiceberg/catalog/glue.py:
##########
@@ -0,0 +1,453 @@
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+
+
+import uuid
+from typing import (
+    Any,
+    Dict,
+    List,
+    Optional,
+    Set,
+    Union,
+)
+
+import boto3
+
+from pyiceberg.catalog import (
+    Catalog,
+    Identifier,
+    Properties,
+    PropertiesUpdateSummary,
+)
+from pyiceberg.catalog.base import (
+    ICEBERG,
+    METADATA_LOCATION,
+    TABLE_TYPE,
+    WAREHOUSE,
+)
+from pyiceberg.exceptions import (
+    NamespaceAlreadyExistsError,
+    NamespaceNotEmptyError,
+    NoSuchIcebergTableError,
+    NoSuchNamespaceError,
+    NoSuchPropertyException,
+    NoSuchTableError,
+    TableAlreadyExistsError,
+)
+from pyiceberg.io import FileIO, load_file_io
+from pyiceberg.schema import Schema
+from pyiceberg.serializers import FromInputFile, ToOutputFile
+from pyiceberg.table import Table
+from pyiceberg.table.metadata import TableMetadata, new_table_metadata
+from pyiceberg.table.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec
+from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder
+from pyiceberg.typedef import EMPTY_DICT
+
+EXTERNAL_TABLE_TYPE = "EXTERNAL_TABLE"
+
+PROP_GLUE_TABLE = "Table"
+PROP_GLUE_TABLE_TYPE = "TableType"
+PROP_GLUE_TABLE_DESCRIPTION = "description"
+PROP_GLUE_TABLE_PARAMETERS = "Parameters"
+PROP_GLUE_TABLE_DATABASE_NAME = "DatabaseName"
+PROP_GLUE_TABLE_NAME = "Name"
+
+PROP_GLUE_TABLELIST = "TableList"
+
+PROP_GLUE_DATABASE = "Database"
+PROP_GLUE_DATABASE_LIST = "DatabaseList"
+PROP_GLUE_DATABASE_NAME = "Name"
+PROP_GLUE_DATABASE_LOCATION = "LocationUri"
+PROP_GLUE_DATABASE_DESCRIPTION = "Description"
+PROP_GLUE_DATABASE_PARAMETERS = "Parameters"
+
+PROP_GLUE_NEXT_TOKEN = "NextToken"
+
+GLUE_DESCRIPTION_KEY = "comment"
+GLUE_DATABASE_LOCATION_KEY = "location"
+
+
+def _construct_parameters(metadata_location: str) -> Properties:
+    return {TABLE_TYPE: ICEBERG.upper(), METADATA_LOCATION: metadata_location}
+
+
+def _construct_table_input(table_name: str, metadata_location: str, properties: Properties) -> Dict[str, Any]:
+    table_input = {
+        PROP_GLUE_TABLE_NAME: table_name,
+        PROP_GLUE_TABLE_TYPE: EXTERNAL_TABLE_TYPE,
+        PROP_GLUE_TABLE_PARAMETERS: _construct_parameters(metadata_location),
+    }
+
+    if table_description := properties.get(GLUE_DESCRIPTION_KEY):
+        table_input[PROP_GLUE_TABLE_DESCRIPTION] = table_description
+
+    return table_input
+
+
+def _construct_database_input(database_name: str, properties: Properties) -> Dict[str, Any]:
+    database_input: Dict[str, Any] = {PROP_GLUE_DATABASE_NAME: database_name}
+    parameters = {}
+    for k, v in properties.items():
+        if k == GLUE_DESCRIPTION_KEY:
+            database_input[PROP_GLUE_DATABASE_DESCRIPTION] = v
+        if k == GLUE_DATABASE_LOCATION_KEY:
+            database_input[PROP_GLUE_DATABASE_LOCATION] = v
+        else:
+            parameters[k] = v
+    database_input[PROP_GLUE_DATABASE_PARAMETERS] = parameters
+    return database_input
+
+
+def _write_metadata(metadata: TableMetadata, io: FileIO, metadate_path: str):
+    ToOutputFile.table_metadata(metadata, io.new_output(metadate_path))
+
+
+class GlueCatalog(Catalog):
+    def __init__(self, name: str, **properties: str):
+        super().__init__(name, **properties)
+        self.glue = boto3.client("glue")
+
+    def _convert_glue_to_iceberg(self, glue_table: Dict[str, Any]) -> Table:
+        properties: Properties = glue_table[PROP_GLUE_TABLE_PARAMETERS]
+
+        if TABLE_TYPE not in properties:
+            raise NoSuchPropertyException(
+                f"Property {TABLE_TYPE} missing, could not determine type: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        glue_table_type = properties[TABLE_TYPE]
+
+        if glue_table_type.lower() != ICEBERG:
+            raise NoSuchIcebergTableError(
+                f"Property table_type is {glue_table_type}, expected {ICEBERG}: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+
+        if METADATA_LOCATION not in properties:
+            raise NoSuchPropertyException(
+                f"Table property {METADATA_LOCATION} is missing, cannot find metadata for: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        metadata_location = properties[METADATA_LOCATION]
+
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        file = io.new_input(metadata_location)
+        metadata = FromInputFile.table_metadata(file)
+        return Table(
+            identifier=(glue_table[PROP_GLUE_TABLE_DATABASE_NAME], glue_table[PROP_GLUE_TABLE_NAME]),
+            metadata=metadata,
+            metadata_location=metadata_location,
+        )
+
+    def _default_warehouse_location(self, database_name: str, table_name: str):
+        try:
+            response = self.glue.get_database(Name=database_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"The database: {database_name} does not exist") from e
+
+        if database_location := response.get(PROP_GLUE_DATABASE).get(PROP_GLUE_DATABASE_LOCATION):
+            return f"{database_location}/{table_name}"
+
+        if WAREHOUSE in self.properties:
+            return f"{self.properties[WAREHOUSE]}/{database_name}.db/{table_name}"
+
+        raise ValueError("No default path is set, please specify a location when creating a table")
+
+    def _resolve_table_location(self, location: Optional[str], database_name: str, table_name: str) -> str:
+        if not location:
+            return self._default_warehouse_location(database_name, table_name)
+        return location
+
+    def create_table(
+        self,
+        identifier: Union[str, Identifier],
+        schema: Schema,
+        location: Optional[str] = None,
+        partition_spec: PartitionSpec = UNPARTITIONED_PARTITION_SPEC,
+        sort_order: SortOrder = UNSORTED_SORT_ORDER,
+        properties: Properties = EMPTY_DICT,
+    ) -> Table:
+        """Create an Iceberg table in Glue catalog
+        Args:
+            identifier: Table identifier.
+            schema: Table's schema.
+            location: Location for the table. Optional Argument.
+            partition_spec: PartitionSpec for the table.
+            sort_order: SortOrder for the table.
+            properties: Table properties that can be a string based dictionary.
+        Returns:
+            Table: the created table instance
+        Raises:
+            AlreadyExistsError: If a table with the name already exists
+            ValueError: If the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+
+        location = self._resolve_table_location(location, database_name, table_name)
+        metadata_location = f"{location}/metadata/00000-{uuid.uuid4()}.metadata.json"
+        metadata = new_table_metadata(
+            location=location, schema=schema, partition_spec=partition_spec, sort_order=sort_order, properties=properties
+        )
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        _write_metadata(metadata, io, metadata_location)
+        try:
+            self.glue.create_table(
+                DatabaseName=database_name, TableInput=_construct_table_input(table_name, metadata_location, properties)
+            )
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise TableAlreadyExistsError(f"Table {database_name}.{table_name} already exists") from e
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"Database {database_name} not found") from e
+
+        try:
+            loaded_table = self.load_table(identifier=(database_name, table_name))
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table {database_name}.{table_name} fail to be created") from e
+
+        return loaded_table
+
+    def load_table(self, identifier: Union[str, Identifier]) -> Table:
+        """Loads the table's metadata and returns the table instance.
+        You can also use this method to check for table existence using 'try catalog.table() except TableNotFoundError'
+        Note: This method doesn't scan data stored in the table.
+        Args:
+            identifier: Table identifier.
+        Returns:
+            Table: the table instance with its metadata
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            load_table_response = self.glue.get_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+        return self._convert_glue_to_iceberg(load_table_response[PROP_GLUE_TABLE])
+
+    def drop_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table.
+
+        Args:
+            identifier: Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            self.glue.delete_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+    def purge_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table and purge all data and metadata files. AWS glue will asynchronously delete resource
+        belongs to the table once the table is deleted
+
+        Args:
+            identifier (str | Identifier): Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist
+        """
+        self.drop_table(identifier)
+
+    def rename_table(self, from_identifier: Union[str, Identifier], to_identifier: Union[str, Identifier]) -> Table:
+        """Rename a fully classified table name
+
+        Args:
+            from_identifier: Existing table identifier.
+            to_identifier: New table identifier.
+
+        Returns:
+            Table: the updated table instance with its metadata
+
+        Raises:
+            ValueError: When the from table identifier is invalid
+            NoSuchTableError: When a table with the name does not exist
+            NoSuchNamespaceError: When the destination namespace doesn't exists
+        """
+        from_database_name, from_table_name = self.identifier_to_tuple(from_identifier)
+        to_database_name, to_table_name = self.identifier_to_tuple(to_identifier)
+        try:
+            get_table_response = self.glue.get_table(DatabaseName=from_database_name, Name=from_table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {from_database_name}.{from_table_name}") from e
+
+        table_input = get_table_response[PROP_GLUE_TABLE]
+        table_input[PROP_GLUE_TABLE_NAME] = to_table_name
+        new_input = _construct_table_input(to_table_name, table_input[PROP_GLUE_TABLE_PARAMETERS][METADATA_LOCATION], {})
+
+        try:
+            self.glue.create_table(DatabaseName=to_database_name, TableInput=new_input)
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise TableAlreadyExistsError(f"Table {to_database_name}.{to_table_name} already exists") from e
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"Database {to_database_name} not found") from e
+
+        try:
+            self.drop_table(from_identifier)
+        except Exception as e:
+            self.drop_table(to_identifier)
+            raise ValueError(
+                f"Fail to drop old table {from_database_name}.{from_table_name}, roll back to use the old one"
+            ) from e
+        return self.load_table(to_identifier)
+
+    def create_namespace(self, namespace: Union[str, Identifier], properties: Properties = EMPTY_DICT) -> None:
+        """Create a namespace in the catalog.
+
+        Args:
+            namespace: Namespace identifier
+            properties: A string dictionary of properties for the given namespace
+
+        Raises:
+            ValueError: If the identifier is invalid
+            AlreadyExistsError: If a namespace with the given name already exists
+        """
+        database_name = self.identifier_to_tuple(namespace)[0]
+        try:
+            self.glue.create_database(DatabaseInput=_construct_database_input(database_name, properties))
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise NamespaceAlreadyExistsError(f"Database {database_name} already exists") from e
+
+    def drop_namespace(self, namespace: Union[str, Identifier]) -> None:
+        """Drop a namespace.
+
+        Args:
+            namespace: Namespace identifier
+
+        Raises:
+            NoSuchNamespaceError: If a namespace with the given name does not exist, or the identifier is invalid
+            NamespaceNotEmptyError: If the namespace is not empty
+        """
+        database_name = self.identifier_to_tuple(namespace)[0]
+        try:
+            table_list = self.list_tables(namespace=database_name)
+        except NoSuchNamespaceError as e:
+            raise NoSuchNamespaceError(f"Database does not exists: {database_name}") from e
+
+        if len(table_list) > 0:
+            raise NamespaceNotEmptyError(f"Database {database_name} is not empty")
+
+        self.glue.delete_database(Name=database_name)
+
+    def list_tables(self, namespace: Union[str, Identifier]) -> List[Identifier]:
+        database_name = self.identifier_to_tuple(namespace)[0]
+        table_list = []
+        try:
+            table_list_response = self.glue.get_tables(DatabaseName=database_name)
+            next_token = table_list_response.get(PROP_GLUE_NEXT_TOKEN)
+            table_list += table_list_response[PROP_GLUE_TABLELIST]

Review Comment:
   or can do` .get(PROP_GLUE_TABLELIST, [])` instead



##########
python/pyiceberg/catalog/glue.py:
##########
@@ -0,0 +1,453 @@
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+
+
+import uuid
+from typing import (
+    Any,
+    Dict,
+    List,
+    Optional,
+    Set,
+    Union,
+)
+
+import boto3
+
+from pyiceberg.catalog import (
+    Catalog,
+    Identifier,
+    Properties,
+    PropertiesUpdateSummary,
+)
+from pyiceberg.catalog.base import (
+    ICEBERG,
+    METADATA_LOCATION,
+    TABLE_TYPE,
+    WAREHOUSE,
+)
+from pyiceberg.exceptions import (
+    NamespaceAlreadyExistsError,
+    NamespaceNotEmptyError,
+    NoSuchIcebergTableError,
+    NoSuchNamespaceError,
+    NoSuchPropertyException,
+    NoSuchTableError,
+    TableAlreadyExistsError,
+)
+from pyiceberg.io import FileIO, load_file_io
+from pyiceberg.schema import Schema
+from pyiceberg.serializers import FromInputFile, ToOutputFile
+from pyiceberg.table import Table
+from pyiceberg.table.metadata import TableMetadata, new_table_metadata
+from pyiceberg.table.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec
+from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder
+from pyiceberg.typedef import EMPTY_DICT
+
+EXTERNAL_TABLE_TYPE = "EXTERNAL_TABLE"
+
+PROP_GLUE_TABLE = "Table"
+PROP_GLUE_TABLE_TYPE = "TableType"
+PROP_GLUE_TABLE_DESCRIPTION = "description"
+PROP_GLUE_TABLE_PARAMETERS = "Parameters"
+PROP_GLUE_TABLE_DATABASE_NAME = "DatabaseName"
+PROP_GLUE_TABLE_NAME = "Name"
+
+PROP_GLUE_TABLELIST = "TableList"
+
+PROP_GLUE_DATABASE = "Database"
+PROP_GLUE_DATABASE_LIST = "DatabaseList"
+PROP_GLUE_DATABASE_NAME = "Name"
+PROP_GLUE_DATABASE_LOCATION = "LocationUri"
+PROP_GLUE_DATABASE_DESCRIPTION = "Description"
+PROP_GLUE_DATABASE_PARAMETERS = "Parameters"
+
+PROP_GLUE_NEXT_TOKEN = "NextToken"
+
+GLUE_DESCRIPTION_KEY = "comment"
+GLUE_DATABASE_LOCATION_KEY = "location"
+
+
+def _construct_parameters(metadata_location: str) -> Properties:
+    return {TABLE_TYPE: ICEBERG.upper(), METADATA_LOCATION: metadata_location}
+
+
+def _construct_table_input(table_name: str, metadata_location: str, properties: Properties) -> Dict[str, Any]:
+    table_input = {
+        PROP_GLUE_TABLE_NAME: table_name,
+        PROP_GLUE_TABLE_TYPE: EXTERNAL_TABLE_TYPE,
+        PROP_GLUE_TABLE_PARAMETERS: _construct_parameters(metadata_location),
+    }
+
+    if table_description := properties.get(GLUE_DESCRIPTION_KEY):
+        table_input[PROP_GLUE_TABLE_DESCRIPTION] = table_description
+
+    return table_input
+
+
+def _construct_database_input(database_name: str, properties: Properties) -> Dict[str, Any]:
+    database_input: Dict[str, Any] = {PROP_GLUE_DATABASE_NAME: database_name}
+    parameters = {}
+    for k, v in properties.items():
+        if k == GLUE_DESCRIPTION_KEY:
+            database_input[PROP_GLUE_DATABASE_DESCRIPTION] = v
+        if k == GLUE_DATABASE_LOCATION_KEY:
+            database_input[PROP_GLUE_DATABASE_LOCATION] = v
+        else:
+            parameters[k] = v
+    database_input[PROP_GLUE_DATABASE_PARAMETERS] = parameters
+    return database_input
+
+
+def _write_metadata(metadata: TableMetadata, io: FileIO, metadate_path: str):
+    ToOutputFile.table_metadata(metadata, io.new_output(metadate_path))
+
+
+class GlueCatalog(Catalog):
+    def __init__(self, name: str, **properties: str):
+        super().__init__(name, **properties)
+        self.glue = boto3.client("glue")
+
+    def _convert_glue_to_iceberg(self, glue_table: Dict[str, Any]) -> Table:
+        properties: Properties = glue_table[PROP_GLUE_TABLE_PARAMETERS]
+
+        if TABLE_TYPE not in properties:
+            raise NoSuchPropertyException(
+                f"Property {TABLE_TYPE} missing, could not determine type: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        glue_table_type = properties[TABLE_TYPE]
+
+        if glue_table_type.lower() != ICEBERG:
+            raise NoSuchIcebergTableError(
+                f"Property table_type is {glue_table_type}, expected {ICEBERG}: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+
+        if METADATA_LOCATION not in properties:
+            raise NoSuchPropertyException(
+                f"Table property {METADATA_LOCATION} is missing, cannot find metadata for: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        metadata_location = properties[METADATA_LOCATION]
+
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        file = io.new_input(metadata_location)
+        metadata = FromInputFile.table_metadata(file)
+        return Table(
+            identifier=(glue_table[PROP_GLUE_TABLE_DATABASE_NAME], glue_table[PROP_GLUE_TABLE_NAME]),
+            metadata=metadata,
+            metadata_location=metadata_location,
+        )
+
+    def _default_warehouse_location(self, database_name: str, table_name: str):
+        try:
+            response = self.glue.get_database(Name=database_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"The database: {database_name} does not exist") from e
+
+        if database_location := response.get(PROP_GLUE_DATABASE).get(PROP_GLUE_DATABASE_LOCATION):
+            return f"{database_location}/{table_name}"
+
+        if WAREHOUSE in self.properties:
+            return f"{self.properties[WAREHOUSE]}/{database_name}.db/{table_name}"
+
+        raise ValueError("No default path is set, please specify a location when creating a table")
+
+    def _resolve_table_location(self, location: Optional[str], database_name: str, table_name: str) -> str:
+        if not location:
+            return self._default_warehouse_location(database_name, table_name)
+        return location
+
+    def create_table(
+        self,
+        identifier: Union[str, Identifier],
+        schema: Schema,
+        location: Optional[str] = None,
+        partition_spec: PartitionSpec = UNPARTITIONED_PARTITION_SPEC,
+        sort_order: SortOrder = UNSORTED_SORT_ORDER,
+        properties: Properties = EMPTY_DICT,
+    ) -> Table:
+        """Create an Iceberg table in Glue catalog
+        Args:
+            identifier: Table identifier.
+            schema: Table's schema.
+            location: Location for the table. Optional Argument.
+            partition_spec: PartitionSpec for the table.
+            sort_order: SortOrder for the table.
+            properties: Table properties that can be a string based dictionary.
+        Returns:
+            Table: the created table instance
+        Raises:
+            AlreadyExistsError: If a table with the name already exists
+            ValueError: If the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+
+        location = self._resolve_table_location(location, database_name, table_name)
+        metadata_location = f"{location}/metadata/00000-{uuid.uuid4()}.metadata.json"
+        metadata = new_table_metadata(
+            location=location, schema=schema, partition_spec=partition_spec, sort_order=sort_order, properties=properties
+        )
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        _write_metadata(metadata, io, metadata_location)
+        try:
+            self.glue.create_table(
+                DatabaseName=database_name, TableInput=_construct_table_input(table_name, metadata_location, properties)
+            )
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise TableAlreadyExistsError(f"Table {database_name}.{table_name} already exists") from e
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"Database {database_name} not found") from e
+
+        try:
+            loaded_table = self.load_table(identifier=(database_name, table_name))
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table {database_name}.{table_name} fail to be created") from e
+
+        return loaded_table
+
+    def load_table(self, identifier: Union[str, Identifier]) -> Table:
+        """Loads the table's metadata and returns the table instance.
+        You can also use this method to check for table existence using 'try catalog.table() except TableNotFoundError'
+        Note: This method doesn't scan data stored in the table.
+        Args:
+            identifier: Table identifier.
+        Returns:
+            Table: the table instance with its metadata
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            load_table_response = self.glue.get_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+        return self._convert_glue_to_iceberg(load_table_response[PROP_GLUE_TABLE])
+
+    def drop_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table.
+
+        Args:
+            identifier: Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            self.glue.delete_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+    def purge_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table and purge all data and metadata files. AWS glue will asynchronously delete resource
+        belongs to the table once the table is deleted
+
+        Args:
+            identifier (str | Identifier): Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist
+        """
+        self.drop_table(identifier)
+
+    def rename_table(self, from_identifier: Union[str, Identifier], to_identifier: Union[str, Identifier]) -> Table:
+        """Rename a fully classified table name

Review Comment:
   [doubt] what is meant by classified here ? 



##########
python/pyiceberg/catalog/glue.py:
##########
@@ -0,0 +1,453 @@
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+
+
+import uuid
+from typing import (
+    Any,
+    Dict,
+    List,
+    Optional,
+    Set,
+    Union,
+)
+
+import boto3
+
+from pyiceberg.catalog import (
+    Catalog,
+    Identifier,
+    Properties,
+    PropertiesUpdateSummary,
+)
+from pyiceberg.catalog.base import (
+    ICEBERG,
+    METADATA_LOCATION,
+    TABLE_TYPE,
+    WAREHOUSE,
+)
+from pyiceberg.exceptions import (
+    NamespaceAlreadyExistsError,
+    NamespaceNotEmptyError,
+    NoSuchIcebergTableError,
+    NoSuchNamespaceError,
+    NoSuchPropertyException,
+    NoSuchTableError,
+    TableAlreadyExistsError,
+)
+from pyiceberg.io import FileIO, load_file_io
+from pyiceberg.schema import Schema
+from pyiceberg.serializers import FromInputFile, ToOutputFile
+from pyiceberg.table import Table
+from pyiceberg.table.metadata import TableMetadata, new_table_metadata
+from pyiceberg.table.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec
+from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder
+from pyiceberg.typedef import EMPTY_DICT
+
+EXTERNAL_TABLE_TYPE = "EXTERNAL_TABLE"
+
+PROP_GLUE_TABLE = "Table"
+PROP_GLUE_TABLE_TYPE = "TableType"
+PROP_GLUE_TABLE_DESCRIPTION = "description"
+PROP_GLUE_TABLE_PARAMETERS = "Parameters"
+PROP_GLUE_TABLE_DATABASE_NAME = "DatabaseName"
+PROP_GLUE_TABLE_NAME = "Name"
+
+PROP_GLUE_TABLELIST = "TableList"
+
+PROP_GLUE_DATABASE = "Database"
+PROP_GLUE_DATABASE_LIST = "DatabaseList"
+PROP_GLUE_DATABASE_NAME = "Name"
+PROP_GLUE_DATABASE_LOCATION = "LocationUri"
+PROP_GLUE_DATABASE_DESCRIPTION = "Description"
+PROP_GLUE_DATABASE_PARAMETERS = "Parameters"
+
+PROP_GLUE_NEXT_TOKEN = "NextToken"
+
+GLUE_DESCRIPTION_KEY = "comment"
+GLUE_DATABASE_LOCATION_KEY = "location"
+
+
+def _construct_parameters(metadata_location: str) -> Properties:
+    return {TABLE_TYPE: ICEBERG.upper(), METADATA_LOCATION: metadata_location}
+
+
+def _construct_table_input(table_name: str, metadata_location: str, properties: Properties) -> Dict[str, Any]:
+    table_input = {
+        PROP_GLUE_TABLE_NAME: table_name,
+        PROP_GLUE_TABLE_TYPE: EXTERNAL_TABLE_TYPE,
+        PROP_GLUE_TABLE_PARAMETERS: _construct_parameters(metadata_location),
+    }
+
+    if table_description := properties.get(GLUE_DESCRIPTION_KEY):
+        table_input[PROP_GLUE_TABLE_DESCRIPTION] = table_description
+
+    return table_input
+
+
+def _construct_database_input(database_name: str, properties: Properties) -> Dict[str, Any]:
+    database_input: Dict[str, Any] = {PROP_GLUE_DATABASE_NAME: database_name}
+    parameters = {}
+    for k, v in properties.items():
+        if k == GLUE_DESCRIPTION_KEY:
+            database_input[PROP_GLUE_DATABASE_DESCRIPTION] = v
+        if k == GLUE_DATABASE_LOCATION_KEY:
+            database_input[PROP_GLUE_DATABASE_LOCATION] = v
+        else:
+            parameters[k] = v
+    database_input[PROP_GLUE_DATABASE_PARAMETERS] = parameters
+    return database_input
+
+
+def _write_metadata(metadata: TableMetadata, io: FileIO, metadate_path: str):
+    ToOutputFile.table_metadata(metadata, io.new_output(metadate_path))
+
+
+class GlueCatalog(Catalog):
+    def __init__(self, name: str, **properties: str):
+        super().__init__(name, **properties)
+        self.glue = boto3.client("glue")
+
+    def _convert_glue_to_iceberg(self, glue_table: Dict[str, Any]) -> Table:
+        properties: Properties = glue_table[PROP_GLUE_TABLE_PARAMETERS]
+
+        if TABLE_TYPE not in properties:
+            raise NoSuchPropertyException(
+                f"Property {TABLE_TYPE} missing, could not determine type: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        glue_table_type = properties[TABLE_TYPE]
+
+        if glue_table_type.lower() != ICEBERG:
+            raise NoSuchIcebergTableError(
+                f"Property table_type is {glue_table_type}, expected {ICEBERG}: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+
+        if METADATA_LOCATION not in properties:
+            raise NoSuchPropertyException(
+                f"Table property {METADATA_LOCATION} is missing, cannot find metadata for: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        metadata_location = properties[METADATA_LOCATION]
+
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        file = io.new_input(metadata_location)
+        metadata = FromInputFile.table_metadata(file)
+        return Table(
+            identifier=(glue_table[PROP_GLUE_TABLE_DATABASE_NAME], glue_table[PROP_GLUE_TABLE_NAME]),
+            metadata=metadata,
+            metadata_location=metadata_location,
+        )
+
+    def _default_warehouse_location(self, database_name: str, table_name: str):
+        try:
+            response = self.glue.get_database(Name=database_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"The database: {database_name} does not exist") from e
+
+        if database_location := response.get(PROP_GLUE_DATABASE).get(PROP_GLUE_DATABASE_LOCATION):
+            return f"{database_location}/{table_name}"
+
+        if WAREHOUSE in self.properties:
+            return f"{self.properties[WAREHOUSE]}/{database_name}.db/{table_name}"
+
+        raise ValueError("No default path is set, please specify a location when creating a table")
+
+    def _resolve_table_location(self, location: Optional[str], database_name: str, table_name: str) -> str:
+        if not location:
+            return self._default_warehouse_location(database_name, table_name)
+        return location
+
+    def create_table(
+        self,
+        identifier: Union[str, Identifier],
+        schema: Schema,
+        location: Optional[str] = None,
+        partition_spec: PartitionSpec = UNPARTITIONED_PARTITION_SPEC,
+        sort_order: SortOrder = UNSORTED_SORT_ORDER,
+        properties: Properties = EMPTY_DICT,
+    ) -> Table:
+        """Create an Iceberg table in Glue catalog
+        Args:
+            identifier: Table identifier.
+            schema: Table's schema.
+            location: Location for the table. Optional Argument.
+            partition_spec: PartitionSpec for the table.
+            sort_order: SortOrder for the table.
+            properties: Table properties that can be a string based dictionary.
+        Returns:
+            Table: the created table instance
+        Raises:
+            AlreadyExistsError: If a table with the name already exists
+            ValueError: If the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+
+        location = self._resolve_table_location(location, database_name, table_name)
+        metadata_location = f"{location}/metadata/00000-{uuid.uuid4()}.metadata.json"
+        metadata = new_table_metadata(
+            location=location, schema=schema, partition_spec=partition_spec, sort_order=sort_order, properties=properties
+        )
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        _write_metadata(metadata, io, metadata_location)
+        try:
+            self.glue.create_table(
+                DatabaseName=database_name, TableInput=_construct_table_input(table_name, metadata_location, properties)
+            )
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise TableAlreadyExistsError(f"Table {database_name}.{table_name} already exists") from e
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"Database {database_name} not found") from e
+
+        try:
+            loaded_table = self.load_table(identifier=(database_name, table_name))
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table {database_name}.{table_name} fail to be created") from e
+
+        return loaded_table
+
+    def load_table(self, identifier: Union[str, Identifier]) -> Table:
+        """Loads the table's metadata and returns the table instance.
+        You can also use this method to check for table existence using 'try catalog.table() except TableNotFoundError'
+        Note: This method doesn't scan data stored in the table.
+        Args:
+            identifier: Table identifier.
+        Returns:
+            Table: the table instance with its metadata
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            load_table_response = self.glue.get_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+        return self._convert_glue_to_iceberg(load_table_response[PROP_GLUE_TABLE])
+
+    def drop_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table.
+
+        Args:
+            identifier: Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            self.glue.delete_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+    def purge_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table and purge all data and metadata files. AWS glue will asynchronously delete resource
+        belongs to the table once the table is deleted
+
+        Args:
+            identifier (str | Identifier): Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist
+        """
+        self.drop_table(identifier)
+
+    def rename_table(self, from_identifier: Union[str, Identifier], to_identifier: Union[str, Identifier]) -> Table:
+        """Rename a fully classified table name
+
+        Args:
+            from_identifier: Existing table identifier.
+            to_identifier: New table identifier.
+
+        Returns:
+            Table: the updated table instance with its metadata
+
+        Raises:
+            ValueError: When the from table identifier is invalid
+            NoSuchTableError: When a table with the name does not exist
+            NoSuchNamespaceError: When the destination namespace doesn't exists
+        """
+        from_database_name, from_table_name = self.identifier_to_tuple(from_identifier)
+        to_database_name, to_table_name = self.identifier_to_tuple(to_identifier)
+        try:
+            get_table_response = self.glue.get_table(DatabaseName=from_database_name, Name=from_table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {from_database_name}.{from_table_name}") from e
+
+        table_input = get_table_response[PROP_GLUE_TABLE]
+        table_input[PROP_GLUE_TABLE_NAME] = to_table_name
+        new_input = _construct_table_input(to_table_name, table_input[PROP_GLUE_TABLE_PARAMETERS][METADATA_LOCATION], {})
+
+        try:
+            self.glue.create_table(DatabaseName=to_database_name, TableInput=new_input)
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise TableAlreadyExistsError(f"Table {to_database_name}.{to_table_name} already exists") from e
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"Database {to_database_name} not found") from e

Review Comment:
   should we extract this part in a private func so that it can be used by both create_table as well as here ? Thoughts



##########
python/pyiceberg/catalog/glue.py:
##########
@@ -0,0 +1,453 @@
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+
+
+import uuid
+from typing import (
+    Any,
+    Dict,
+    List,
+    Optional,
+    Set,
+    Union,
+)
+
+import boto3
+
+from pyiceberg.catalog import (
+    Catalog,
+    Identifier,
+    Properties,
+    PropertiesUpdateSummary,
+)
+from pyiceberg.catalog.base import (
+    ICEBERG,
+    METADATA_LOCATION,
+    TABLE_TYPE,
+    WAREHOUSE,
+)
+from pyiceberg.exceptions import (
+    NamespaceAlreadyExistsError,
+    NamespaceNotEmptyError,
+    NoSuchIcebergTableError,
+    NoSuchNamespaceError,
+    NoSuchPropertyException,
+    NoSuchTableError,
+    TableAlreadyExistsError,
+)
+from pyiceberg.io import FileIO, load_file_io
+from pyiceberg.schema import Schema
+from pyiceberg.serializers import FromInputFile, ToOutputFile
+from pyiceberg.table import Table
+from pyiceberg.table.metadata import TableMetadata, new_table_metadata
+from pyiceberg.table.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec
+from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder
+from pyiceberg.typedef import EMPTY_DICT
+
+EXTERNAL_TABLE_TYPE = "EXTERNAL_TABLE"
+
+PROP_GLUE_TABLE = "Table"
+PROP_GLUE_TABLE_TYPE = "TableType"
+PROP_GLUE_TABLE_DESCRIPTION = "description"
+PROP_GLUE_TABLE_PARAMETERS = "Parameters"
+PROP_GLUE_TABLE_DATABASE_NAME = "DatabaseName"
+PROP_GLUE_TABLE_NAME = "Name"
+
+PROP_GLUE_TABLELIST = "TableList"
+
+PROP_GLUE_DATABASE = "Database"
+PROP_GLUE_DATABASE_LIST = "DatabaseList"
+PROP_GLUE_DATABASE_NAME = "Name"
+PROP_GLUE_DATABASE_LOCATION = "LocationUri"
+PROP_GLUE_DATABASE_DESCRIPTION = "Description"
+PROP_GLUE_DATABASE_PARAMETERS = "Parameters"
+
+PROP_GLUE_NEXT_TOKEN = "NextToken"
+
+GLUE_DESCRIPTION_KEY = "comment"
+GLUE_DATABASE_LOCATION_KEY = "location"
+
+
+def _construct_parameters(metadata_location: str) -> Properties:
+    return {TABLE_TYPE: ICEBERG.upper(), METADATA_LOCATION: metadata_location}
+
+
+def _construct_table_input(table_name: str, metadata_location: str, properties: Properties) -> Dict[str, Any]:
+    table_input = {
+        PROP_GLUE_TABLE_NAME: table_name,
+        PROP_GLUE_TABLE_TYPE: EXTERNAL_TABLE_TYPE,
+        PROP_GLUE_TABLE_PARAMETERS: _construct_parameters(metadata_location),
+    }
+
+    if table_description := properties.get(GLUE_DESCRIPTION_KEY):
+        table_input[PROP_GLUE_TABLE_DESCRIPTION] = table_description
+
+    return table_input
+
+
+def _construct_database_input(database_name: str, properties: Properties) -> Dict[str, Any]:
+    database_input: Dict[str, Any] = {PROP_GLUE_DATABASE_NAME: database_name}
+    parameters = {}
+    for k, v in properties.items():
+        if k == GLUE_DESCRIPTION_KEY:
+            database_input[PROP_GLUE_DATABASE_DESCRIPTION] = v
+        if k == GLUE_DATABASE_LOCATION_KEY:
+            database_input[PROP_GLUE_DATABASE_LOCATION] = v
+        else:
+            parameters[k] = v
+    database_input[PROP_GLUE_DATABASE_PARAMETERS] = parameters
+    return database_input
+
+
+def _write_metadata(metadata: TableMetadata, io: FileIO, metadate_path: str):
+    ToOutputFile.table_metadata(metadata, io.new_output(metadate_path))
+
+
+class GlueCatalog(Catalog):
+    def __init__(self, name: str, **properties: str):
+        super().__init__(name, **properties)
+        self.glue = boto3.client("glue")
+
+    def _convert_glue_to_iceberg(self, glue_table: Dict[str, Any]) -> Table:
+        properties: Properties = glue_table[PROP_GLUE_TABLE_PARAMETERS]
+
+        if TABLE_TYPE not in properties:
+            raise NoSuchPropertyException(
+                f"Property {TABLE_TYPE} missing, could not determine type: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        glue_table_type = properties[TABLE_TYPE]
+
+        if glue_table_type.lower() != ICEBERG:
+            raise NoSuchIcebergTableError(
+                f"Property table_type is {glue_table_type}, expected {ICEBERG}: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+
+        if METADATA_LOCATION not in properties:
+            raise NoSuchPropertyException(
+                f"Table property {METADATA_LOCATION} is missing, cannot find metadata for: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        metadata_location = properties[METADATA_LOCATION]
+
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        file = io.new_input(metadata_location)
+        metadata = FromInputFile.table_metadata(file)
+        return Table(
+            identifier=(glue_table[PROP_GLUE_TABLE_DATABASE_NAME], glue_table[PROP_GLUE_TABLE_NAME]),
+            metadata=metadata,
+            metadata_location=metadata_location,
+        )
+
+    def _default_warehouse_location(self, database_name: str, table_name: str):
+        try:
+            response = self.glue.get_database(Name=database_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"The database: {database_name} does not exist") from e
+
+        if database_location := response.get(PROP_GLUE_DATABASE).get(PROP_GLUE_DATABASE_LOCATION):
+            return f"{database_location}/{table_name}"
+
+        if WAREHOUSE in self.properties:
+            return f"{self.properties[WAREHOUSE]}/{database_name}.db/{table_name}"
+
+        raise ValueError("No default path is set, please specify a location when creating a table")
+
+    def _resolve_table_location(self, location: Optional[str], database_name: str, table_name: str) -> str:
+        if not location:
+            return self._default_warehouse_location(database_name, table_name)
+        return location
+
+    def create_table(
+        self,
+        identifier: Union[str, Identifier],
+        schema: Schema,
+        location: Optional[str] = None,
+        partition_spec: PartitionSpec = UNPARTITIONED_PARTITION_SPEC,
+        sort_order: SortOrder = UNSORTED_SORT_ORDER,
+        properties: Properties = EMPTY_DICT,
+    ) -> Table:
+        """Create an Iceberg table in Glue catalog
+        Args:
+            identifier: Table identifier.
+            schema: Table's schema.
+            location: Location for the table. Optional Argument.
+            partition_spec: PartitionSpec for the table.
+            sort_order: SortOrder for the table.
+            properties: Table properties that can be a string based dictionary.
+        Returns:
+            Table: the created table instance
+        Raises:
+            AlreadyExistsError: If a table with the name already exists
+            ValueError: If the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+
+        location = self._resolve_table_location(location, database_name, table_name)
+        metadata_location = f"{location}/metadata/00000-{uuid.uuid4()}.metadata.json"
+        metadata = new_table_metadata(
+            location=location, schema=schema, partition_spec=partition_spec, sort_order=sort_order, properties=properties
+        )
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        _write_metadata(metadata, io, metadata_location)
+        try:
+            self.glue.create_table(
+                DatabaseName=database_name, TableInput=_construct_table_input(table_name, metadata_location, properties)
+            )
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise TableAlreadyExistsError(f"Table {database_name}.{table_name} already exists") from e
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"Database {database_name} not found") from e
+
+        try:
+            loaded_table = self.load_table(identifier=(database_name, table_name))
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table {database_name}.{table_name} fail to be created") from e
+
+        return loaded_table
+
+    def load_table(self, identifier: Union[str, Identifier]) -> Table:
+        """Loads the table's metadata and returns the table instance.
+        You can also use this method to check for table existence using 'try catalog.table() except TableNotFoundError'
+        Note: This method doesn't scan data stored in the table.
+        Args:
+            identifier: Table identifier.
+        Returns:
+            Table: the table instance with its metadata
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            load_table_response = self.glue.get_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+        return self._convert_glue_to_iceberg(load_table_response[PROP_GLUE_TABLE])
+
+    def drop_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table.
+
+        Args:
+            identifier: Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            self.glue.delete_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+    def purge_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table and purge all data and metadata files. AWS glue will asynchronously delete resource
+        belongs to the table once the table is deleted

Review Comment:
   [doubt] how are we deleting all the data / metadata files ? as per my understanding purge table is simply call's drop table which drops table in glue, not in s3, am I missing something here ? 



##########
python/pyiceberg/catalog/glue.py:
##########
@@ -0,0 +1,453 @@
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+
+
+import uuid
+from typing import (
+    Any,
+    Dict,
+    List,
+    Optional,
+    Set,
+    Union,
+)
+
+import boto3
+
+from pyiceberg.catalog import (
+    Catalog,
+    Identifier,
+    Properties,
+    PropertiesUpdateSummary,
+)
+from pyiceberg.catalog.base import (
+    ICEBERG,
+    METADATA_LOCATION,
+    TABLE_TYPE,
+    WAREHOUSE,
+)
+from pyiceberg.exceptions import (
+    NamespaceAlreadyExistsError,
+    NamespaceNotEmptyError,
+    NoSuchIcebergTableError,
+    NoSuchNamespaceError,
+    NoSuchPropertyException,
+    NoSuchTableError,
+    TableAlreadyExistsError,
+)
+from pyiceberg.io import FileIO, load_file_io
+from pyiceberg.schema import Schema
+from pyiceberg.serializers import FromInputFile, ToOutputFile
+from pyiceberg.table import Table
+from pyiceberg.table.metadata import TableMetadata, new_table_metadata
+from pyiceberg.table.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec
+from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder
+from pyiceberg.typedef import EMPTY_DICT
+
+EXTERNAL_TABLE_TYPE = "EXTERNAL_TABLE"
+
+PROP_GLUE_TABLE = "Table"
+PROP_GLUE_TABLE_TYPE = "TableType"
+PROP_GLUE_TABLE_DESCRIPTION = "description"
+PROP_GLUE_TABLE_PARAMETERS = "Parameters"
+PROP_GLUE_TABLE_DATABASE_NAME = "DatabaseName"
+PROP_GLUE_TABLE_NAME = "Name"
+
+PROP_GLUE_TABLELIST = "TableList"
+
+PROP_GLUE_DATABASE = "Database"
+PROP_GLUE_DATABASE_LIST = "DatabaseList"
+PROP_GLUE_DATABASE_NAME = "Name"
+PROP_GLUE_DATABASE_LOCATION = "LocationUri"
+PROP_GLUE_DATABASE_DESCRIPTION = "Description"
+PROP_GLUE_DATABASE_PARAMETERS = "Parameters"
+
+PROP_GLUE_NEXT_TOKEN = "NextToken"
+
+GLUE_DESCRIPTION_KEY = "comment"
+GLUE_DATABASE_LOCATION_KEY = "location"
+
+
+def _construct_parameters(metadata_location: str) -> Properties:
+    return {TABLE_TYPE: ICEBERG.upper(), METADATA_LOCATION: metadata_location}
+
+
+def _construct_table_input(table_name: str, metadata_location: str, properties: Properties) -> Dict[str, Any]:
+    table_input = {
+        PROP_GLUE_TABLE_NAME: table_name,
+        PROP_GLUE_TABLE_TYPE: EXTERNAL_TABLE_TYPE,
+        PROP_GLUE_TABLE_PARAMETERS: _construct_parameters(metadata_location),
+    }
+
+    if table_description := properties.get(GLUE_DESCRIPTION_KEY):
+        table_input[PROP_GLUE_TABLE_DESCRIPTION] = table_description
+
+    return table_input
+
+
+def _construct_database_input(database_name: str, properties: Properties) -> Dict[str, Any]:
+    database_input: Dict[str, Any] = {PROP_GLUE_DATABASE_NAME: database_name}
+    parameters = {}
+    for k, v in properties.items():
+        if k == GLUE_DESCRIPTION_KEY:
+            database_input[PROP_GLUE_DATABASE_DESCRIPTION] = v
+        if k == GLUE_DATABASE_LOCATION_KEY:
+            database_input[PROP_GLUE_DATABASE_LOCATION] = v
+        else:
+            parameters[k] = v
+    database_input[PROP_GLUE_DATABASE_PARAMETERS] = parameters
+    return database_input
+
+
+def _write_metadata(metadata: TableMetadata, io: FileIO, metadate_path: str):
+    ToOutputFile.table_metadata(metadata, io.new_output(metadate_path))
+
+
+class GlueCatalog(Catalog):
+    def __init__(self, name: str, **properties: str):
+        super().__init__(name, **properties)
+        self.glue = boto3.client("glue")
+
+    def _convert_glue_to_iceberg(self, glue_table: Dict[str, Any]) -> Table:
+        properties: Properties = glue_table[PROP_GLUE_TABLE_PARAMETERS]
+
+        if TABLE_TYPE not in properties:
+            raise NoSuchPropertyException(
+                f"Property {TABLE_TYPE} missing, could not determine type: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        glue_table_type = properties[TABLE_TYPE]
+
+        if glue_table_type.lower() != ICEBERG:
+            raise NoSuchIcebergTableError(
+                f"Property table_type is {glue_table_type}, expected {ICEBERG}: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+
+        if METADATA_LOCATION not in properties:
+            raise NoSuchPropertyException(
+                f"Table property {METADATA_LOCATION} is missing, cannot find metadata for: "
+                f"{glue_table[PROP_GLUE_TABLE_DATABASE_NAME]}.{glue_table[PROP_GLUE_TABLE_NAME]}"
+            )
+        metadata_location = properties[METADATA_LOCATION]
+
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        file = io.new_input(metadata_location)
+        metadata = FromInputFile.table_metadata(file)
+        return Table(
+            identifier=(glue_table[PROP_GLUE_TABLE_DATABASE_NAME], glue_table[PROP_GLUE_TABLE_NAME]),
+            metadata=metadata,
+            metadata_location=metadata_location,
+        )
+
+    def _default_warehouse_location(self, database_name: str, table_name: str):
+        try:
+            response = self.glue.get_database(Name=database_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"The database: {database_name} does not exist") from e
+
+        if database_location := response.get(PROP_GLUE_DATABASE).get(PROP_GLUE_DATABASE_LOCATION):
+            return f"{database_location}/{table_name}"
+
+        if WAREHOUSE in self.properties:
+            return f"{self.properties[WAREHOUSE]}/{database_name}.db/{table_name}"
+
+        raise ValueError("No default path is set, please specify a location when creating a table")
+
+    def _resolve_table_location(self, location: Optional[str], database_name: str, table_name: str) -> str:
+        if not location:
+            return self._default_warehouse_location(database_name, table_name)
+        return location
+
+    def create_table(
+        self,
+        identifier: Union[str, Identifier],
+        schema: Schema,
+        location: Optional[str] = None,
+        partition_spec: PartitionSpec = UNPARTITIONED_PARTITION_SPEC,
+        sort_order: SortOrder = UNSORTED_SORT_ORDER,
+        properties: Properties = EMPTY_DICT,
+    ) -> Table:
+        """Create an Iceberg table in Glue catalog
+        Args:
+            identifier: Table identifier.
+            schema: Table's schema.
+            location: Location for the table. Optional Argument.
+            partition_spec: PartitionSpec for the table.
+            sort_order: SortOrder for the table.
+            properties: Table properties that can be a string based dictionary.
+        Returns:
+            Table: the created table instance
+        Raises:
+            AlreadyExistsError: If a table with the name already exists
+            ValueError: If the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+
+        location = self._resolve_table_location(location, database_name, table_name)
+        metadata_location = f"{location}/metadata/00000-{uuid.uuid4()}.metadata.json"
+        metadata = new_table_metadata(
+            location=location, schema=schema, partition_spec=partition_spec, sort_order=sort_order, properties=properties
+        )
+        io = load_file_io(properties=self.properties, location=metadata_location)
+        _write_metadata(metadata, io, metadata_location)
+        try:
+            self.glue.create_table(
+                DatabaseName=database_name, TableInput=_construct_table_input(table_name, metadata_location, properties)
+            )
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise TableAlreadyExistsError(f"Table {database_name}.{table_name} already exists") from e
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"Database {database_name} not found") from e
+
+        try:
+            loaded_table = self.load_table(identifier=(database_name, table_name))
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table {database_name}.{table_name} fail to be created") from e
+
+        return loaded_table
+
+    def load_table(self, identifier: Union[str, Identifier]) -> Table:
+        """Loads the table's metadata and returns the table instance.
+        You can also use this method to check for table existence using 'try catalog.table() except TableNotFoundError'
+        Note: This method doesn't scan data stored in the table.
+        Args:
+            identifier: Table identifier.
+        Returns:
+            Table: the table instance with its metadata
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            load_table_response = self.glue.get_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+        return self._convert_glue_to_iceberg(load_table_response[PROP_GLUE_TABLE])
+
+    def drop_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table.
+
+        Args:
+            identifier: Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist, or the identifier is invalid
+        """
+        database_name, table_name = self.identifier_to_tuple(identifier)
+        try:
+            self.glue.delete_table(DatabaseName=database_name, Name=table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {database_name}.{table_name}") from e
+
+    def purge_table(self, identifier: Union[str, Identifier]) -> None:
+        """Drop a table and purge all data and metadata files. AWS glue will asynchronously delete resource
+        belongs to the table once the table is deleted
+
+        Args:
+            identifier (str | Identifier): Table identifier.
+
+        Raises:
+            NoSuchTableError: If a table with the name does not exist
+        """
+        self.drop_table(identifier)
+
+    def rename_table(self, from_identifier: Union[str, Identifier], to_identifier: Union[str, Identifier]) -> Table:
+        """Rename a fully classified table name
+
+        Args:
+            from_identifier: Existing table identifier.
+            to_identifier: New table identifier.
+
+        Returns:
+            Table: the updated table instance with its metadata
+
+        Raises:
+            ValueError: When the from table identifier is invalid
+            NoSuchTableError: When a table with the name does not exist
+            NoSuchNamespaceError: When the destination namespace doesn't exists
+        """
+        from_database_name, from_table_name = self.identifier_to_tuple(from_identifier)
+        to_database_name, to_table_name = self.identifier_to_tuple(to_identifier)
+        try:
+            get_table_response = self.glue.get_table(DatabaseName=from_database_name, Name=from_table_name)
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchTableError(f"Table does not exists: {from_database_name}.{from_table_name}") from e
+
+        table_input = get_table_response[PROP_GLUE_TABLE]
+        table_input[PROP_GLUE_TABLE_NAME] = to_table_name
+        new_input = _construct_table_input(to_table_name, table_input[PROP_GLUE_TABLE_PARAMETERS][METADATA_LOCATION], {})
+
+        try:
+            self.glue.create_table(DatabaseName=to_database_name, TableInput=new_input)
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise TableAlreadyExistsError(f"Table {to_database_name}.{to_table_name} already exists") from e
+        except self.glue.exceptions.EntityNotFoundException as e:
+            raise NoSuchNamespaceError(f"Database {to_database_name} not found") from e
+
+        try:
+            self.drop_table(from_identifier)
+        except Exception as e:
+            self.drop_table(to_identifier)
+            raise ValueError(
+                f"Fail to drop old table {from_database_name}.{from_table_name}, roll back to use the old one"
+            ) from e
+        return self.load_table(to_identifier)
+
+    def create_namespace(self, namespace: Union[str, Identifier], properties: Properties = EMPTY_DICT) -> None:
+        """Create a namespace in the catalog.
+
+        Args:
+            namespace: Namespace identifier
+            properties: A string dictionary of properties for the given namespace
+
+        Raises:
+            ValueError: If the identifier is invalid
+            AlreadyExistsError: If a namespace with the given name already exists
+        """
+        database_name = self.identifier_to_tuple(namespace)[0]
+        try:
+            self.glue.create_database(DatabaseInput=_construct_database_input(database_name, properties))
+        except self.glue.exceptions.AlreadyExistsException as e:
+            raise NamespaceAlreadyExistsError(f"Database {database_name} already exists") from e
+
+    def drop_namespace(self, namespace: Union[str, Identifier]) -> None:
+        """Drop a namespace.
+
+        Args:
+            namespace: Namespace identifier
+
+        Raises:
+            NoSuchNamespaceError: If a namespace with the given name does not exist, or the identifier is invalid
+            NamespaceNotEmptyError: If the namespace is not empty
+        """
+        database_name = self.identifier_to_tuple(namespace)[0]
+        try:
+            table_list = self.list_tables(namespace=database_name)
+        except NoSuchNamespaceError as e:
+            raise NoSuchNamespaceError(f"Database does not exists: {database_name}") from e
+
+        if len(table_list) > 0:
+            raise NamespaceNotEmptyError(f"Database {database_name} is not empty")
+
+        self.glue.delete_database(Name=database_name)
+
+    def list_tables(self, namespace: Union[str, Identifier]) -> List[Identifier]:
+        database_name = self.identifier_to_tuple(namespace)[0]
+        table_list = []
+        try:
+            table_list_response = self.glue.get_tables(DatabaseName=database_name)
+            next_token = table_list_response.get(PROP_GLUE_NEXT_TOKEN)
+            table_list += table_list_response[PROP_GLUE_TABLELIST]

Review Comment:
   [question] response might not contain this prop in the response, in case of empty table list and getting it from response might cause issue of key not found ? should we add a check for hasTableList and check PROP_GLUE_TABLELIST when it's true, similar to java impl ? copy to all listing ops



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: issues-unsubscribe@iceberg.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@iceberg.apache.org
For additional commands, e-mail: issues-help@iceberg.apache.org