Cte support

mindsdb_sql/planner/plan_join.py

@@ -112,6 +112,7 @@ def plan(self, query):
             query2 = copy.deepcopy(query)
             query2.from_table = None
             query2.using = None
+            query2.cte = None
             sup_select = QueryStep(query2, from_table=join_step.result)
             self.planner.plan.add_step(sup_select)
             return sup_select
@@ -375,7 +376,9 @@ def process_subselect(self, item):
         self.step_stack.append(step2)
 
     def process_table(self, item, query_in):
-        query2 = Select(from_table=item.table, targets=[Star()])
+        table = copy.deepcopy(item.table)
+        table.parts.insert(0, item.integration)
+        query2 = Select(from_table=table, targets=[Star()])
         # parts = tuple(map(str.lower, table_name.parts))
         conditions = item.conditions
         if 'or' in self.query_context['binary_ops']:
@@ -414,8 +417,7 @@ def process_table(self, item, query_in):
             else:
                 query2.where = cond
 
-        # step = self.planner.get_integration_select_step(query2)
-        step = FetchDataframeStep(integration=item.integration, query=query2)
+        step = self.planner.get_integration_select_step(query2)
         self.tables_fetch_step[item.index] = step
 
         self.add_plan_step(step)

mindsdb_sql/planner/query_planner.py

@@ -86,6 +86,8 @@ def __init__(self,
 
         self.statement = None
 
+        self.cte_results = {}
+
     def is_predictor(self, identifier):
         if not isinstance(identifier, Identifier):
             return False
@@ -158,6 +160,12 @@ def get_integration_select_step(self, select):
         else:
             integration_name, table = self.resolve_database_table(select.from_table)
 
+            # is it CTE?
+            table_name = table.parts[-1]
+            if integration_name == self.default_namespace and table_name in self.cte_results:
+                select.from_table = None
+                return SubSelectStep(select, self.cte_results[table_name], table_name=table_name)
+
         fetch_df_select = copy.deepcopy(select)
         self.prepare_integration_select(integration_name, fetch_df_select)
 
@@ -663,10 +671,19 @@ def plan_delete(self, query: Delete):
             where=query.where
         ))
 
+    def plan_cte(self, query):
+        for cte in query.cte:
+            step = self.plan_select(cte.query)
+            name = cte.name.parts[-1]
+            self.cte_results[name] = step.result
+
     def plan_select(self, query, integration=None):
         if isinstance(query, Union):
             return self.plan_union(query, integration=integration)
 
+        if query.cte is not None:
+            self.plan_cte(query)
+
         from_table = query.from_table
 
         if isinstance(from_table, Identifier):

mindsdb_sql/planner/query_prepare.py

@@ -348,6 +348,8 @@ def find_predictors(node, is_table, **kwargs):
 
             elif column.name is not None:
                 # is Identifier
+                if isinstance(column.name, ast.Star):
+                    continue
                 col_name = column.name.upper()
                 if column.table is not None:
                     table = column.table

tests/test_planner/test_join_predictor.py

@@ -142,14 +142,6 @@ def test_join_predictor_plan_limit(self):
     #         plan_query(query, integrations=['postgres_90'], predictor_namespace='mindsdb', predictor_metadata={'hrp3': {}})
 
     def test_join_predictor_plan_complex_query(self):
-        query = Select(targets=[Identifier('tab.asset'), Identifier('tab.time'), Identifier('pred.predicted')],
-                       from_table=Join(left=Identifier('int.tab'),
-                                       right=Identifier('mindsdb.pred'),
-                                       join_type=JoinType.INNER_JOIN,
-                                       implicit=True),
-                       group_by=[Identifier('tab.asset')],
-                       having=BinaryOperation('=', args=[Identifier('tab.asset'), Constant('bitcoin')])
-                       )
 
         sql = """
             select t.asset, t.time, m.predicted

tests/test_planner/test_join_tables.py

@@ -489,4 +489,35 @@ def test_join_one_integration(self):
                                   )
         plan = plan_query(query, integrations=['int'], default_namespace='int')
 
-        assert plan.steps == expected_plan.steps
+        assert plan.steps == expected_plan.steps
+
+    def test_cte(self):
+        query = parse_sql('''
+            with t1 as (
+               select * from int1.tbl1
+            )
+            select t1.id, t2.* from t1
+            join int2.tbl2 t2 on t1.id>t2.id
+        ''')
+
+        subquery = copy.deepcopy(query)
+        subquery.from_table = None
+
+        plan = plan_query(query, integrations=['int1', 'int2'], default_namespace='mindsdb')
+
+        expected_plan = QueryPlan(
+            steps=[
+              FetchDataframeStep(integration='int1', query=parse_sql('select * from tbl1')),
+              SubSelectStep(dataframe=Result(0), query=Select(targets=[Star()]), table_name='t1'),
+              FetchDataframeStep(integration='int2', query=parse_sql('select * from tbl2 as t2')),
+              JoinStep(left=Result(1),
+                       right=Result(2),
+                       query=Join(left=Identifier('tab1'),
+                                    right=Identifier('tab2'),
+                                    condition=BinaryOperation(op='>', args=[Identifier('t1.id'), Identifier('t2.id')]),
+                                    join_type=JoinType.JOIN)),
+              QueryStep(parse_sql('SELECT t1.`id`, t2.*'), from_table=Result(3)),
+            ]
+        )
+
+        assert plan.steps == expected_plan.steps