- API cleanupticket_3054

- docs
- lets go

2 files changed, 5 insertions, 3 deletions

diff --git a/examples/performance/__init__.py b/examples/performance/__init__.py
index 88ae9b7dc..6264ae9f7 100644
--- a/examples/performance/__init__.py
+++ b/examples/performance/__init__.py
@@ -6,7 +6,7 @@ profile and associated implications:
 * bulk inserts
 * individual inserts, with or without transactions
 * fetching large numbers of rows
-* running lots of small queries (TODO)
+* running lots of short queries
 
 All suites include a variety of use patterns illustrating both Core
 and ORM use, and are generally sorted in order of performance from worst
diff --git a/examples/performance/short_selects.py b/examples/performance/short_selects.py
index 27120fe6a..ef1fcff4a 100644
--- a/examples/performance/short_selects.py
+++ b/examples/performance/short_selects.py
@@ -73,9 +73,10 @@ def test_orm_query_cols_only(n):
 @Profiler.profile
 def test_baked_query(n):
     """test a baked query of the full entity."""
+    bakery = baked.bakery()
     s = Session(bind=engine)
     for id_ in random.sample(ids, n):
-        q = baked.BakedQuery(lambda s: s.query(Customer))
+        q = bakery(lambda s: s.query(Customer))
         q += lambda q: q.filter(Customer.id == bindparam('id'))
         q(s).params(id=id_).one()
 
@@ -83,9 +84,10 @@ def test_baked_query(n):
 @Profiler.profile
 def test_baked_query_cols_only(n):
     """test a baked query of only the entity columns."""
+    bakery = baked.bakery()
     s = Session(bind=engine)
     for id_ in random.sample(ids, n):
-        q = baked.BakedQuery(
+        q = bakery(
             lambda s: s.query(
                 Customer.id, Customer.name, Customer.description))
         q += lambda q: q.filter(Customer.id == bindparam('id'))