diff --git a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
index c965a6c8d32f4..87454dd00244a 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
@@ -795,7 +795,7 @@ message MapPartitions {
   // (Required) Input user-defined function.
   CommonInlineUserDefinedFunction func = 2;
 
-  // (Optional) isBarrier.
+  // (Optional) Whether to use barrier mode execution or not.
   optional bool is_barrier = 3;
 }
 
diff --git a/python/pyspark/sql/connect/dataframe.py b/python/pyspark/sql/connect/dataframe.py
index 65f270f21d48c..94daaa4d57d7f 100644
--- a/python/pyspark/sql/connect/dataframe.py
+++ b/python/pyspark/sql/connect/dataframe.py
@@ -1645,7 +1645,7 @@ def _map_partitions(
         func: "PandasMapIterFunction",
         schema: Union[StructType, str],
         evalType: int,
-        is_barrier: bool,
+        barrier: bool,
     ) -> "DataFrame":
         from pyspark.sql.connect.udf import UserDefinedFunction
 
@@ -1660,7 +1660,7 @@ def _map_partitions(
 
         return DataFrame.withPlan(
             plan.MapPartitions(
-                child=self._plan, function=udf_obj, cols=self.columns, is_barrier=is_barrier
+                child=self._plan, function=udf_obj, cols=self.columns, is_barrier=barrier
             ),
             session=self._session,
         )
@@ -1669,11 +1669,9 @@ def mapInPandas(
         self,
         func: "PandasMapIterFunction",
         schema: Union[StructType, str],
-        is_barrier: bool = False,
+        barrier: bool = False,
     ) -> "DataFrame":
-        return self._map_partitions(
-            func, schema, PythonEvalType.SQL_MAP_PANDAS_ITER_UDF, is_barrier
-        )
+        return self._map_partitions(func, schema, PythonEvalType.SQL_MAP_PANDAS_ITER_UDF, barrier)
 
     mapInPandas.__doc__ = PySparkDataFrame.mapInPandas.__doc__
 
@@ -1681,9 +1679,9 @@ def mapInArrow(
         self,
         func: "ArrowMapIterFunction",
         schema: Union[StructType, str],
-        is_barrier: bool = False,
+        barrier: bool = False,
     ) -> "DataFrame":
-        return self._map_partitions(func, schema, PythonEvalType.SQL_MAP_ARROW_ITER_UDF, is_barrier)
+        return self._map_partitions(func, schema, PythonEvalType.SQL_MAP_ARROW_ITER_UDF, barrier)
 
     mapInArrow.__doc__ = PySparkDataFrame.mapInArrow.__doc__
 
diff --git a/python/pyspark/sql/connect/proto/relations_pb2.pyi b/python/pyspark/sql/connect/proto/relations_pb2.pyi
index c3cf733a995b1..cd2b0fb2d3ff5 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/relations_pb2.pyi
@@ -2767,7 +2767,7 @@ class MapPartitions(google.protobuf.message.Message):
     def func(self) -> pyspark.sql.connect.proto.expressions_pb2.CommonInlineUserDefinedFunction:
         """(Required) Input user-defined function."""
     is_barrier: builtins.bool
-    """(Optional) isBarrier."""
+    """(Optional) Whether to use barrier mode execution or not."""
     def __init__(
         self,
         *,