fix sqlalchemy deprecation warnings

docs/source/changelog.md

@@ -1,5 +1,8 @@
 # Changelog
 
+## 0.6.5 (2026-01-DD)
+- fix sqlalchemy deprecation warnings
+
 ## 0.6.4 (2025-12-18)
 - fix col.map() Null-type handling and string operations
 - fix print display of short tables

src/pydiverse/transform/_internal/backend/sql.py

@@ -172,19 +172,19 @@ def export(
                     connection=conn,
                     schema_overrides={
                         sql_col.name: schema_overrides[col._uuid]
-                        for sql_col, col in zip(sel.columns.values(), final_select, strict=True)
+                        for sql_col, col in zip(sel.selected_columns.values(), final_select, strict=True)
                         if col._uuid in schema_overrides
                     }
                     | {
                         sql_col.name: NullType().to_polars()
-                        for sql_col, col in zip(sel.columns.values(), final_select, strict=True)
+                        for sql_col, col in zip(sel.selected_columns.values(), final_select, strict=True)
                         if types.without_const(col.dtype()) == NullType()
                     },
                 )
                 # fix column names in case default case is modified by database driver
                 # (for example IBM DB2 returns lowercase columns as uppercase column
                 # names)
-                df.columns = [c.name for c in sel.columns]
+                df.columns = [c.name for c in sel.selected_columns]
                 df.name = nd.name
                 return df
 

tests/test_sql_table.py

@@ -129,6 +129,9 @@ def test_show_query(self, tbl1, capfd):
     def test_export(self, tbl1):
         assert_equal(tbl1 >> export(Polars()), df1)
 
+    def test_export_mutate(self, tbl1):
+        assert_equal(tbl1 >> mutate(col3=tbl1.col1 * 2) >> export(Polars()), df1.with_columns(col3=df1["col1"] * 2))
+
     def test_select(self, tbl1):
         assert_equal(tbl1 >> select(tbl1.col1), df1.select("col1"))
         assert_equal(tbl1 >> select(tbl1.col2), df1.select("col2"))