More accurate db count functionality

lemur/database.py

@@ -10,8 +10,8 @@
 .. moduleauthor:: Kevin Glisson <kglisson@netflix.com>
 """
 from inflection import underscore
-from sqlalchemy import exc, func
+from sqlalchemy import exc, func, distinct
-from sqlalchemy.orm import make_transient
+from sqlalchemy.orm import make_transient, lazyload
 from sqlalchemy.sql import and_, or_
 
 from lemur.exceptions import AttrNotFound, DuplicateError
@@ -273,7 +273,31 @@ def get_count(q):
     :param q:
     :return:
     """
-    count_q = q.statement.with_only_columns([func.count()]).group_by(None).order_by(None)
+    disable_group_by = False
+    if len(q._entities) > 1:
+        # currently support only one entity
+        raise Exception('only one entity is supported for get_count, got: %s' % q)
+    entity = q._entities[0]
+    if hasattr(entity, 'column'):
+        # _ColumnEntity has column attr - on case: query(Model.column)...
+        col = entity.column
+        if q._group_by and q._distinct:
+            # which query can have both?
+            raise NotImplementedError
+        if q._group_by or q._distinct:
+            col = distinct(col)
+        if q._group_by:
+            # need to disable group_by and enable distinct - we can do this because we have only 1 entity
+            disable_group_by = True
+        count_func = func.count(col)
+    else:
+        # _MapperEntity doesn't have column attr - on case: query(Model)...
+        count_func = func.count()
+    if q._group_by and not disable_group_by:
+        count_func = count_func.over(None)
+    count_q = q.options(lazyload('*')).statement.with_only_columns([count_func]).order_by(None)
+    if disable_group_by:
+        count_q = count_q.group_by(None)
     count = q.session.execute(count_q).scalar()
     return count