Fixing multi method for to_sql for non-oracle databases

doc/source/whatsnew/v2.2.1.rst

@@ -26,6 +26,7 @@ Fixed regressions
 - Fixed regression in :meth:`Index.join` raising ``TypeError`` when joining an empty index to a non-empty index containing mixed dtype values (:issue:`57048`)
 - Fixed regression in :meth:`Series.pct_change` raising a ``ValueError`` for an empty :class:`Series` (:issue:`57056`)
 - Fixed regression in :meth:`Series.to_numpy` when dtype is given as float and the data contains NaNs (:issue:`57121`)
+- Fixed regression in :meth:`DataFrame.to_sql` when method="multi" is passed and the dialect type is not Oracle (:issue:`57310`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_221.bug_fixes:

pandas/io/sql.py

@@ -1009,17 +1009,15 @@ def _execute_insert_multi(self, conn, keys: list[str], data_iter) -> int:
         Note: multi-value insert is usually faster for analytics DBs
         and tables containing a few columns
         but performance degrades quickly with increase of columns.
+
+        Note: Oracle does not support multi-value insert
         """
 
         from sqlalchemy import insert
 
         data = [dict(zip(keys, row)) for row in data_iter]
-        stmt = insert(self.table)
-        # conn.execute is used here to ensure compatibility with Oracle.
-        # Using stmt.values(data) would produce a multi row insert that
-        # isn't supported by Oracle.
-        # see: https://docs.sqlalchemy.org/en/20/core/dml.html#sqlalchemy.sql.expression.Insert.values
-        result = conn.execute(stmt, data)
+        stmt = insert(self.table).values(data)
+        result = conn.execute(stmt)
         return result.rowcount
 
     def insert_data(self) -> tuple[list[str], list[np.ndarray]]: