diff --git a/python/docs/source/migration_guide/pyspark_upgrade.rst b/python/docs/source/migration_guide/pyspark_upgrade.rst
index 35bfe5f23c961..acde9170666bd 100644
--- a/python/docs/source/migration_guide/pyspark_upgrade.rst
+++ b/python/docs/source/migration_guide/pyspark_upgrade.rst
@@ -21,6 +21,7 @@ Upgrading PySpark
 
 Upgrading from PySpark 4.2 to 4.3
 ---------------------------------
+* In Spark 4.3, Python 3.10 support was dropped in PySpark.
 * In Spark 4.3, a ``mapInPandas`` UDF must return an iterator of ``pandas.DataFrame``\s; returning any other iterable such as a ``list`` now raises ``UDF_RETURN_TYPE``, matching the existing ``mapInArrow`` behavior and the declared ``Iterator[...]`` signature. To restore the previous behavior of accepting any iterable for both ``mapInPandas`` and ``mapInArrow``, set ``spark.sql.execution.pythonUDF.mapInBatch.legacy.acceptAnyIterable.enabled`` to ``true``.
 
 Upgrading from PySpark 4.1 to 4.2