diff --git a/python/docs/source/tutorial/sql/python_data_source.rst b/python/docs/source/tutorial/sql/python_data_source.rst
index 07f35722e73ff..259006266c5ac 100644
--- a/python/docs/source/tutorial/sql/python_data_source.rst
+++ b/python/docs/source/tutorial/sql/python_data_source.rst
@@ -238,7 +238,7 @@ This is a dummy streaming data reader that generates 2 rows in every microbatch.
             """
             return {"offset": 0}
 
-        def latestOffset(self) -> dict:
+        def latestOffset(self, start: dict, limit) -> dict:
             """
             Return the current latest offset that the next microbatch will read to.
             """
diff --git a/python/pyspark/sql/datasource.py b/python/pyspark/sql/datasource.py
index 062dcec5c1003..1985415a6ec93 100644
--- a/python/pyspark/sql/datasource.py
+++ b/python/pyspark/sql/datasource.py
@@ -756,7 +756,7 @@ def latestOffset(self, start: dict, limit: ReadLimit) -> dict:
         ...     if isinstance(limit, ReadAllAvailable):
         ...        return {"index": start["index"] + 10}
         ...     else:  # e.g., limit is ReadMaxRows(5)
-        ...        return {"index": start["index"] + min(10, limit.maxRows)}
+        ...        return {"index": start["index"] + min(10, limit.max_rows)}
         """
         # NOTE: Previous Spark versions didn't have start offset and read limit parameters for this
         # method. While Spark will ensure the backward compatibility for existing data sources, the