EHN: partially upgrade sql module for SQLAlchemy 2.0 compat

pandas/io/sql.py

@@ -279,13 +279,9 @@ def read_sql_table(
     --------
     >>> pd.read_sql_table('table_name', 'postgres:///db_name')  # doctest:+SKIP
     """
-    from sqlalchemy.exc import InvalidRequestError
-
     pandas_sql = pandasSQL_builder(con, schema=schema)
-    try:
-        pandas_sql.meta.reflect(only=[table_name], views=True)
-    except InvalidRequestError as err:
-        raise ValueError(f"Table {table_name} not found") from err
+    if not pandas_sql.has_table(table_name):
+        raise ValueError(f"Table {table_name} not found")
 
     table = pandas_sql.read_table(
         table_name,
@@ -580,7 +576,7 @@ def read_sql(
         _is_table_name = False
 
     if _is_table_name:
-        pandas_sql.meta.reflect(only=[sql])
+        pandas_sql.meta.reflect(bind=pandas_sql.connectable, only=[sql])
         return pandas_sql.read_table(
             sql,
             index_col=index_col,
@@ -803,7 +799,7 @@ def _execute_create(self):
             self.table = self.table.to_metadata(self.pd_sql.meta)
         else:
             self.table = self.table.tometadata(self.pd_sql.meta)
-        self.table.create()
+        self.table.create(bind=self.pd_sql.connectable)
 
     def create(self):
         if self.exists():
@@ -842,8 +838,12 @@ def _execute_insert_multi(self, conn, keys: list[str], data_iter):
         and tables containing a few columns
         but performance degrades quickly with increase of columns.
         """
+
+        from sqlalchemy import insert
+
         data = [dict(zip(keys, row)) for row in data_iter]
-        conn.execute(self.table.insert(data))
+        stmt = insert(self.table).values(data)
+        conn.execute(stmt)
 
     def insert_data(self):
         if self.index is not None:
@@ -951,17 +951,16 @@ def _query_iterator(
                 yield self.frame
 
     def read(self, coerce_float=True, parse_dates=None, columns=None, chunksize=None):
+        from sqlalchemy import select
 
         if columns is not None and len(columns) > 0:
-            from sqlalchemy import select
-
             cols = [self.table.c[n] for n in columns]
             if self.index is not None:
                 for idx in self.index[::-1]:
                     cols.insert(0, self.table.c[idx])
-            sql_select = select(cols)
+            sql_select = select(*cols) if _gt14() else select(cols)
         else:
-            sql_select = self.table.select()
+            sql_select = select(self.table) if _gt14() else self.table.select()
 
         result = self.pd_sql.execute(sql_select)
         column_names = result.keys()
@@ -1043,6 +1042,7 @@ def _create_table_setup(self):
             PrimaryKeyConstraint,
             Table,
         )
+        from sqlalchemy.schema import MetaData
 
         column_names_and_types = self._get_column_names_and_types(self._sqlalchemy_type)
 
@@ -1063,10 +1063,7 @@ def _create_table_setup(self):
 
         # At this point, attach to new metadata, only attach to self.meta
         # once table is created.
-        from sqlalchemy.schema import MetaData
-
-        meta = MetaData(self.pd_sql, schema=schema)
-
+        meta = MetaData()
         return Table(self.name, meta, *columns, schema=schema)
 
     def _harmonize_columns(self, parse_dates=None):
@@ -1355,15 +1352,19 @@ def __init__(self, engine, schema: str | None = None):
         from sqlalchemy.schema import MetaData
 
         self.connectable = engine
-        self.meta = MetaData(self.connectable, schema=schema)
+        self.meta = MetaData(schema=schema)
+        self.meta.reflect(bind=engine)
 
     @contextmanager
     def run_transaction(self):
-        with self.connectable.begin() as tx:
-            if hasattr(tx, "execute"):
-                yield tx
-            else:
-                yield self.connectable
+        from sqlalchemy.engine import Engine
+
+        if isinstance(self.connectable, Engine):
+            with self.connectable.connect() as conn:
+                with conn.begin():
+                    yield conn
+        else:
+            yield self.connectable
 
     def execute(self, *args, **kwargs):
         """Simple passthrough to SQLAlchemy connectable"""
@@ -1724,9 +1725,9 @@ def tables(self):
 
     def has_table(self, name: str, schema: str | None = None):
         if _gt14():
-            import sqlalchemy as sa
+            from sqlalchemy import inspect
 
-            insp = sa.inspect(self.connectable)
+            insp = inspect(self.connectable)
             return insp.has_table(name, schema or self.meta.schema)
         else:
             return self.connectable.run_callable(
@@ -1752,8 +1753,8 @@ def get_table(self, table_name: str, schema: str | None = None):
     def drop_table(self, table_name: str, schema: str | None = None):
         schema = schema or self.meta.schema
         if self.has_table(table_name, schema):
-            self.meta.reflect(only=[table_name], schema=schema)
-            self.get_table(table_name, schema).drop()
+            self.meta.reflect(bind=self.connectable, only=[table_name], schema=schema)
+            self.get_table(table_name, schema).drop(bind=self.connectable)
             self.meta.clear()
 
     def _create_sql_schema(

pandas/tests/io/test_sql.py

@@ -54,6 +54,8 @@
 import pandas.io.sql as sql
 from pandas.io.sql import (
     SQLAlchemyEngine,
+    SQLDatabase,
+    SQLiteDatabase,
     _gt14,
     get_engine,
     read_sql_query,
@@ -150,7 +152,8 @@ def create_and_load_iris(conn, iris_file: Path, dialect: str):
         stmt = insert(iris).values(params)
         if isinstance(conn, Engine):
             with conn.connect() as conn:
-                conn.execute(stmt)
+                with conn.begin():
+                    conn.execute(stmt)
         else:
             conn.execute(stmt)
 
@@ -167,7 +170,8 @@ def create_and_load_iris_view(conn):
         stmt = text(stmt)
         if isinstance(conn, Engine):
             with conn.connect() as conn:
-                conn.execute(stmt)
+                with conn.begin():
+                    conn.execute(stmt)
         else:
             conn.execute(stmt)
 
@@ -238,7 +242,8 @@ def create_and_load_types(conn, types_data: list[dict], dialect: str):
     stmt = insert(types).values(types_data)
     if isinstance(conn, Engine):
         with conn.connect() as conn:
-            conn.execute(stmt)
+            with conn.begin():
+                conn.execute(stmt)
     else:
         conn.execute(stmt)
 
@@ -601,13 +606,24 @@ def _to_sql_save_index(self):
 
     def _transaction_test(self):
         with self.pandasSQL.run_transaction() as trans:
-            trans.execute("CREATE TABLE test_trans (A INT, B TEXT)")
+            stmt = "CREATE TABLE test_trans (A INT, B TEXT)"
+            if isinstance(self.pandasSQL, SQLiteDatabase):
+                trans.execute(stmt)
+            else:
+                from sqlalchemy import text
+
+                stmt = text(stmt)
+                trans.execute(stmt)
 
         class DummyException(Exception):
             pass
 
         # Make sure when transaction is rolled back, no rows get inserted
         ins_sql = "INSERT INTO test_trans (A,B) VALUES (1, 'blah')"
+        if isinstance(self.pandasSQL, SQLDatabase):
+            from sqlalchemy import text
+
+            ins_sql = text(ins_sql)
         try:
             with self.pandasSQL.run_transaction() as trans:
                 trans.execute(ins_sql)
@@ -1127,12 +1143,20 @@ def test_read_sql_delegate(self):
 
     def test_not_reflect_all_tables(self):
         from sqlalchemy import text
+        from sqlalchemy.engine import Engine
 
         # create invalid table
-        qry = text("CREATE TABLE invalid (x INTEGER, y UNKNOWN);")
-        self.conn.execute(qry)
-        qry = text("CREATE TABLE other_table (x INTEGER, y INTEGER);")
-        self.conn.execute(qry)
+        query_list = [
+            text("CREATE TABLE invalid (x INTEGER, y UNKNOWN);"),
+            text("CREATE TABLE other_table (x INTEGER, y INTEGER);"),
+        ]
+        for query in query_list:
+            if isinstance(self.conn, Engine):
+                with self.conn.connect() as conn:
+                    with conn.begin():
+                        conn.execute(query)
+            else:
+                self.conn.execute(query)
 
         with tm.assert_produces_warning(None):
             sql.read_sql_table("other_table", self.conn)
@@ -1858,7 +1882,8 @@ def test_get_schema_create_table(self, test_frame3):
         create_sql = text(create_sql)
         if isinstance(self.conn, Engine):
             with self.conn.connect() as conn:
-                conn.execute(create_sql)
+                with conn.begin():
+                    conn.execute(create_sql)
         else:
             self.conn.execute(create_sql)
         returned_df = sql.read_sql_table(tbl, self.conn)
@@ -2203,11 +2228,11 @@ def test_default_type_conversion(self):
         assert issubclass(df.BoolColWithNull.dtype.type, np.floating)
 
     def test_read_procedure(self):
-        import pymysql
         from sqlalchemy import text
         from sqlalchemy.engine import Engine
 
-        # see GH7324. Although it is more an api test, it is added to the
+        # GH 7324
+        # Although it is more an api test, it is added to the
         # mysql tests as sqlite does not have stored procedures
         df = DataFrame({"a": [1, 2, 3], "b": [0.1, 0.2, 0.3]})
         df.to_sql("test_procedure", self.conn, index=False)
@@ -2220,14 +2245,12 @@ def test_read_procedure(self):
             SELECT * FROM test_procedure;
         END"""
         proc = text(proc)
-        connection = self.conn.connect() if isinstance(self.conn, Engine) else self.conn
-        trans = connection.begin()
-        try:
-            _ = connection.execute(proc)
-            trans.commit()
-        except pymysql.Error:
-            trans.rollback()
-            raise
+        if isinstance(self.conn, Engine):
+            with self.conn.connect() as conn:
+                with conn.begin():
+                    conn.execute(proc)
+        else:
+            self.conn.execute(proc)
 
         res1 = sql.read_sql_query("CALL get_testdb();", self.conn)
         tm.assert_frame_equal(df, res1)