bogao007 commented on code in PR #48290:
URL: https://github.com/apache/spark/pull/48290#discussion_r1793948755


##########
python/pyspark/sql/streaming/stateful_processor.py:
##########
@@ -121,6 +126,83 @@ def clear(self) -> None:
         self._list_state_client.clear(self._state_name)
 
 
+class MapState:
+    """
+    Class used for arbitrary stateful operations with transformWithState to 
capture single map
+    state.
+
+    .. versionadded:: 4.0.0
+    """
+
+    def __init__(
+        self,
+        map_state_client: MapStateClient,
+        state_name: str,
+        key_schema: Union[StructType, str],
+        value_schema: Union[StructType, str],
+    ) -> None:
+        self._map_state_client = map_state_client
+        self._state_name = state_name
+        self.key_schema = key_schema
+        self.value_schema = value_schema
+
+    def exists(self) -> bool:
+        """
+        Whether state exists or not.
+        """
+        return self._map_state_client.exists(self._state_name)
+
+    def get_value(self, key: Tuple) -> Optional[Tuple]:

Review Comment:
   I'm hesitate to update the public facing API since I think we should keep 
consistent with what we provide in 
[Scala](https://github.com/apache/spark/blob/fed9a8da3d4187794161e0be325aa96be8487783/sql/api/src/main/scala/org/apache/spark/sql/streaming/MapState.scala).
   
   Also user would only access the key when they use MapState, and we clearly 
mentioned that it is `userKey` in the API doc, so I think it should be fine. 
Let me know if you have any concerns on this.



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