refactor: Remove usage of boto3 resources

awswrangler/dynamodb/_delete.py

@@ -4,10 +4,12 @@
 from typing import Any, Dict, List, Optional
 
 import boto3
+from boto3.dynamodb.types import TypeSerializer
 
+from awswrangler import _utils
 from awswrangler._config import apply_configs
 
-from ._utils import _validate_items, get_table
+from ._utils import _TableBatchWriter, _validate_items
 
 _logger: logging.Logger = logging.getLogger(__name__)
 
@@ -46,9 +48,16 @@ def delete_items(
     """
     _logger.debug("Deleting items from DynamoDB table %s", table_name)
 
-    dynamodb_table = get_table(table_name=table_name, boto3_session=boto3_session)
-    _validate_items(items=items, dynamodb_table=dynamodb_table)
-    table_keys = [schema["AttributeName"] for schema in dynamodb_table.key_schema]
-    with dynamodb_table.batch_writer() as writer:
+    dynamodb_client = _utils.client(service_name="dynamodb", session=boto3_session)
+    serializer = TypeSerializer()
+
+    key_schema = dynamodb_client.describe_table(TableName=table_name)["Table"]["KeySchema"]
+    _validate_items(items=items, key_schema=key_schema)
+
+    table_keys = [schema["AttributeName"] for schema in key_schema]
+
+    with _TableBatchWriter(table_name, dynamodb_client) as writer:
         for item in items:
-            writer.delete_item(Key={key: item[key] for key in table_keys})
+            writer.delete_item(
+                key={key: serializer.serialize(item[key]) for key in table_keys},
+            )

awswrangler/dynamodb/_read.py

@@ -11,6 +11,7 @@
     Dict,
     Iterator,
     List,
+    NamedTuple,
     Optional,
     Sequence,
     TypeVar,
@@ -20,8 +21,8 @@
 
 import boto3
 import pyarrow as pa
-from boto3.dynamodb.conditions import ConditionBase
-from boto3.dynamodb.types import Binary
+from boto3.dynamodb.conditions import ConditionBase, ConditionExpressionBuilder
+from boto3.dynamodb.types import Binary, TypeDeserializer, TypeSerializer
 from botocore.exceptions import ClientError
 from typing_extensions import Literal
 
@@ -30,7 +31,7 @@
 from awswrangler._distributed import engine
 from awswrangler._executor import _BaseExecutor, _get_executor
 from awswrangler.distributed.ray import ray_get
-from awswrangler.dynamodb._utils import _serialize_kwargs, execute_statement, get_table
+from awswrangler.dynamodb._utils import _deserialize_item, _serialize_item, execute_statement
 
 if TYPE_CHECKING:
     from mypy_boto3_dynamodb.client import DynamoDBClient
@@ -195,8 +196,8 @@ def _read_scan_chunked(
     # SEE: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Scan.html#Scan.ParallelScan
     client_dynamodb = dynamodb_client if dynamodb_client else _utils.client(service_name="dynamodb")
 
-    deserializer = boto3.dynamodb.types.TypeDeserializer()
-    next_token = "init_token"  # Dummy token
+    deserializer = TypeDeserializer()
+    next_token: Optional[str] = "init_token"  # Dummy token
     total_items = 0
 
     kwargs = dict(kwargs)
@@ -218,7 +219,7 @@ def _read_scan_chunked(
         if ("Limit" in kwargs) and (total_items >= kwargs["Limit"]):
             break
 
-        next_token = response.get("LastEvaluatedKey", None)  # type: ignore[assignment]
+        next_token = response.get("LastEvaluatedKey", None)
         if next_token:
             kwargs["ExclusiveStartKey"] = next_token
 
@@ -242,33 +243,30 @@ def _read_scan(
     return _utils.list_to_arrow_table(mapping=items, schema=schema) if as_dataframe else items
 
 
-def _read_query_chunked(
-    table_name: str, boto3_session: Optional[boto3.Session] = None, **kwargs: Any
-) -> Iterator[_ItemsListType]:
-    table = get_table(table_name=table_name, boto3_session=boto3_session)
-    next_token = "init_token"  # Dummy token
+def _read_query_chunked(table_name: str, dynamodb_client: "DynamoDBClient", **kwargs: Any) -> Iterator[_ItemsListType]:
+    next_token: Optional[str] = "init_token"  # Dummy token
     total_items = 0
 
     # Handle pagination
     while next_token:
-        response = table.query(**kwargs)
+        response = dynamodb_client.query(TableName=table_name, **kwargs)
         items = response.get("Items", [])
         total_items += len(items)
         yield items
 
         if ("Limit" in kwargs) and (total_items >= kwargs["Limit"]):
             break
 
-        next_token = response.get("LastEvaluatedKey", None)  # type: ignore[assignment]
+        next_token = response.get("LastEvaluatedKey", None)
         if next_token:
             kwargs["ExclusiveStartKey"] = next_token
 
 
 @_handle_reserved_keyword_error
 def _read_query(
-    table_name: str, chunked: bool, boto3_session: Optional[boto3.Session] = None, **kwargs: Any
+    table_name: str, dynamodb_client: "DynamoDBClient", chunked: bool, **kwargs: Any
 ) -> Union[_ItemsListType, Iterator[_ItemsListType]]:
-    items_iterator = _read_query_chunked(table_name, boto3_session, **kwargs)
+    items_iterator = _read_query_chunked(table_name, dynamodb_client, **kwargs)
 
     if chunked:
         return items_iterator
@@ -277,12 +275,13 @@ def _read_query(
 
 
 def _read_batch_items_chunked(
-    table_name: str, boto3_session: Optional[boto3.Session] = None, **kwargs: Any
+    table_name: str, dynamodb_client: Optional["DynamoDBClient"], **kwargs: Any
 ) -> Iterator[_ItemsListType]:
-    resource = _utils.resource(service_name="dynamodb", session=boto3_session)
+    dynamodb_client = dynamodb_client if dynamodb_client else _utils.client("dynamodb")
+    deserializer = TypeDeserializer()
 
-    response = resource.batch_get_item(RequestItems={table_name: kwargs})  # type: ignore[dict-item]
-    yield response.get("Responses", {table_name: []}).get(table_name, [])  # type: ignore[arg-type]
+    response = dynamodb_client.batch_get_item(RequestItems={table_name: kwargs})
+    yield [_deserialize_item(d, deserializer) for d in response.get("Responses", {table_name: []}).get(table_name, [])]
 
     # SEE: handle possible unprocessed keys. As suggested in Boto3 docs,
     # this approach should involve exponential backoff, but this should be
@@ -291,15 +290,17 @@ def _read_batch_items_chunked(
     while response["UnprocessedKeys"]:
         kwargs["Keys"] = response["UnprocessedKeys"][table_name]["Keys"]
 
-        response = resource.batch_get_item(RequestItems={table_name: kwargs})  # type: ignore[dict-item]
-        yield response.get("Responses", {table_name: []}).get(table_name, [])  # type: ignore[arg-type]
+        response = dynamodb_client.batch_get_item(RequestItems={table_name: kwargs})
+        yield [
+            _deserialize_item(d, deserializer) for d in response.get("Responses", {table_name: []}).get(table_name, [])
+        ]
 
 
 @_handle_reserved_keyword_error
 def _read_batch_items(
-    table_name: str, chunked: bool, boto3_session: Optional[boto3.Session] = None, **kwargs: Any
+    table_name: str, dynamodb_client: Optional["DynamoDBClient"], chunked: bool, **kwargs: Any
 ) -> Union[_ItemsListType, Iterator[_ItemsListType]]:
-    items_iterator = _read_batch_items_chunked(table_name, boto3_session, **kwargs)
+    items_iterator = _read_batch_items_chunked(table_name, dynamodb_client, **kwargs)
 
     if chunked:
         return items_iterator
@@ -309,10 +310,13 @@ def _read_batch_items(
 
 @_handle_reserved_keyword_error
 def _read_item(
-    table_name: str, chunked: bool = False, boto3_session: Optional[boto3.Session] = None, **kwargs: Any
+    table_name: str,
+    dynamodb_client: "DynamoDBClient",
+    chunked: bool = False,
+    **kwargs: Any,
 ) -> Union[_ItemsListType, Iterator[_ItemsListType]]:
-    table = get_table(table_name=table_name, boto3_session=boto3_session)
-    item_list: _ItemsListType = [table.get_item(**kwargs).get("Item", {})]
+    item = dynamodb_client.get_item(TableName=table_name, **kwargs).get("Item", {})
+    item_list: _ItemsListType = [_deserialize_item(item)]
 
     return [item_list] if chunked else item_list
 
@@ -322,13 +326,10 @@ def _read_items_scan(
     as_dataframe: bool,
     arrow_kwargs: Dict[str, Any],
     use_threads: Union[bool, int],
+    dynamodb_client: "DynamoDBClient",
     chunked: bool,
-    boto3_session: Optional[boto3.Session] = None,
     **kwargs: Any,
 ) -> Union[pd.DataFrame, Iterator[pd.DataFrame], _ItemsListType, Iterator[_ItemsListType]]:
-    dynamodb_client = _utils.client(service_name="dynamodb", session=boto3_session)
-
-    kwargs = _serialize_kwargs(kwargs)
     kwargs["TableName"] = table_name
     schema = arrow_kwargs.pop("schema", None)
 
@@ -368,7 +369,7 @@ def _read_items(
     arrow_kwargs: Dict[str, Any],
     use_threads: Union[bool, int],
     chunked: bool,
-    boto3_session: Optional[boto3.Session] = None,
+    dynamodb_client: "DynamoDBClient",
     **kwargs: Any,
 ) -> Union[pd.DataFrame, Iterator[pd.DataFrame], _ItemsListType, Iterator[_ItemsListType]]:
     # Extract 'Keys', 'IndexName' and 'Limit' from provided kwargs: if needed, will be reinserted later on
@@ -384,12 +385,12 @@ def _read_items(
     # Single Item
     if use_get_item:
         kwargs["Key"] = keys[0]
-        items = _read_item(table_name, chunked, boto3_session, **kwargs)
+        items = _read_item(table_name, dynamodb_client, chunked, **kwargs)
 
     # Batch of Items
     elif use_batch_get_item:
         kwargs["Keys"] = keys
-        items = _read_batch_items(table_name, chunked, boto3_session, **kwargs)
+        items = _read_batch_items(table_name, dynamodb_client, chunked, **kwargs)
 
     else:
         if limit:
@@ -403,7 +404,7 @@ def _read_items(
         if use_query:
             # Query
             _logger.debug("Query DynamoDB table %s", table_name)
-            items = _read_query(table_name, chunked, boto3_session, **kwargs)
+            items = _read_query(table_name, dynamodb_client, chunked, **kwargs)
         else:
             # Last resort use Scan
             warnings.warn(
@@ -415,8 +416,8 @@ def _read_items(
                 as_dataframe=as_dataframe,
                 arrow_kwargs=arrow_kwargs,
                 use_threads=use_threads,
+                dynamodb_client=dynamodb_client,
                 chunked=chunked,
-                boto3_session=boto3_session,
                 **kwargs,
             )
 
@@ -428,6 +429,25 @@ def _read_items(
         return _convert_items(items=cast(_ItemsListType, items), as_dataframe=as_dataframe, arrow_kwargs=arrow_kwargs)
 
 
+class _ExpressionTuple(NamedTuple):
+    condition_expression: str
+    attribute_name_placeholders: Dict[str, str]
+    attribute_value_placeholders: Dict[str, Any]
+
+
+def _convert_condition_base_to_expression(
+    key_condition_expression: ConditionBase, is_key_condition: bool, serializer: TypeSerializer
+) -> Dict[str, Any]:
+    builder = ConditionExpressionBuilder()
+    expression = builder.build_expression(key_condition_expression, is_key_condition=is_key_condition)
+
+    return _ExpressionTuple(
+        condition_expression=expression.condition_expression,
+        attribute_name_placeholders=expression.attribute_name_placeholders,
+        attribute_value_placeholders=_serialize_item(expression.attribute_value_placeholders, serializer=serializer),
+    )
+
+
 @_utils.validate_distributed_kwargs(
     unsupported_kwargs=["boto3_session", "dtype_backend"],
 )
@@ -630,7 +650,9 @@ def read_items(  # pylint: disable=too-many-branches
     )
 
     # Extract key schema
-    table_key_schema = get_table(table_name=table_name, boto3_session=boto3_session).key_schema
+    dynamodb_client = _utils.client(service_name="dynamodb", session=boto3_session)
+    serializer = TypeSerializer()
+    table_key_schema = dynamodb_client.describe_table(TableName=table_name)["Table"]["KeySchema"]
 
     # Detect sort key, if any
     if len(table_key_schema) == 1:
@@ -645,28 +667,50 @@ def read_items(  # pylint: disable=too-many-branches
     kwargs: Dict[str, Any] = {"ConsistentRead": consistent}
     if partition_values:
         if sort_key is None:
-            keys = [{partition_key: pv} for pv in partition_values]
+            keys = [{partition_key: serializer.serialize(pv)} for pv in partition_values]
         else:
             if not sort_values:
                 raise exceptions.InvalidArgumentType(
                     f"Kwarg sort_values must be specified: table {table_name} has {sort_key} as sort key."
                 )
             if len(sort_values) != len(partition_values):
                 raise exceptions.InvalidArgumentCombination("Partition and sort values must have the same length.")
-            keys = [{partition_key: pv, sort_key: sv} for pv, sv in zip(partition_values, sort_values)]
+            keys = [
+                {partition_key: serializer.serialize(pv), sort_key: serializer.serialize(sv)}
+                for pv, sv in zip(partition_values, sort_values)
+            ]
         kwargs["Keys"] = keys
     if index_name:
         kwargs["IndexName"] = index_name
+
     if key_condition_expression:
-        kwargs["KeyConditionExpression"] = key_condition_expression
+        if isinstance(key_condition_expression, str):
+            kwargs["KeyConditionExpression"] = key_condition_expression
+        else:
+            expression_tuple = _convert_condition_base_to_expression(
+                key_condition_expression, is_key_condition=True, serializer=serializer
+            )
+            kwargs["KeyConditionExpression"] = expression_tuple.condition_expression
+            kwargs["ExpressionAttributeNames"] = expression_tuple.attribute_name_placeholders
+            kwargs["ExpressionAttributeValues"] = expression_tuple.attribute_value_placeholders
+
     if filter_expression:
-        kwargs["FilterExpression"] = filter_expression
+        if isinstance(filter_expression, str):
+            kwargs["FilterExpression"] = filter_expression
+        else:
+            expression_tuple = _convert_condition_base_to_expression(
+                filter_expression, is_key_condition=False, serializer=serializer
+            )
+            kwargs["FilterExpression"] = expression_tuple.condition_expression
+            kwargs["ExpressionAttributeNames"] = expression_tuple.attribute_name_placeholders
+            kwargs["ExpressionAttributeValues"] = expression_tuple.attribute_value_placeholders
+
     if columns:
         kwargs["ProjectionExpression"] = ", ".join(columns)
     if expression_attribute_names:
         kwargs["ExpressionAttributeNames"] = expression_attribute_names
     if expression_attribute_values:
-        kwargs["ExpressionAttributeValues"] = expression_attribute_values
+        kwargs["ExpressionAttributeValues"] = _serialize_item(expression_attribute_values, serializer)
     if max_items_evaluated:
         kwargs["Limit"] = max_items_evaluated
 
@@ -678,8 +722,8 @@ def read_items(  # pylint: disable=too-many-branches
             as_dataframe=as_dataframe,
             arrow_kwargs=arrow_kwargs,
             use_threads=use_threads,
-            boto3_session=boto3_session,
             chunked=chunked,
+            dynamodb_client=dynamodb_client,
             **kwargs,
         )
     # Raise otherwise

awswrangler/dynamodb/_read.pyi

@@ -26,6 +26,7 @@ def _read_scan(
     dynamodb_client: Optional["DynamoDBClient"],
     as_dataframe: bool,
     kwargs: Dict[str, Any],
+    schema: Optional[pa.Schema],
     segment: int,
 ) -> Union[pa.Table, _ItemsListType]: ...
 @overload