Files
sqlalchemy/examples/performance/short_selects.py
T
Mike Bayer 66d55b5199 fix / modernize short_selects example
Fixed the "short_selects" performance example where the cache was being
used in all the examples, making it impossible to compare performance with
and without the cache.   Less important comparisons like "lambdas" and
"baked queries" have been removed.

Change-Id: Ia55391ba23e01d2ed136c84f9c34bb16689ce10e
2025-12-05 17:44:57 -05:00

179 lines
5.0 KiB
Python

"""This series of tests illustrates different ways to SELECT a single
record by primary key
"""
import random
from sqlalchemy import bindparam
from sqlalchemy import Column
from sqlalchemy import create_engine
from sqlalchemy import Identity
from sqlalchemy import Integer
from sqlalchemy import select
from sqlalchemy import String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.future import select as future_select
from sqlalchemy.orm import deferred
from sqlalchemy.orm import Session
from . import Profiler
Base = declarative_base()
engine = None
ids = range(1, 11000)
class Customer(Base):
__tablename__ = "customer"
id = Column(Integer, Identity(), primary_key=True)
name = Column(String(255))
description = Column(String(255))
q = Column(Integer)
p = Column(Integer)
x = deferred(Column(Integer))
y = deferred(Column(Integer))
z = deferred(Column(Integer))
Profiler.init("short_selects", num=10000)
@Profiler.setup
def setup_database(dburl, echo, num):
global engine
engine = create_engine(dburl, echo=echo, query_cache_size=0)
Base.metadata.drop_all(engine)
Base.metadata.create_all(engine)
sess = Session(engine)
sess.add_all(
[
Customer(
id=i,
name="c%d" % i,
description="c%d" % i,
q=i * 10,
p=i * 20,
x=i * 30,
y=i * 40,
)
for i in ids
]
)
sess.commit()
@Profiler.profile
def test_orm_query_classic_style(n):
"""classic ORM query of the full entity, no cache"""
session = Session(bind=engine)
for id_ in random.sample(ids, n):
session.query(Customer).filter(Customer.id == id_).one()
@Profiler.profile
def test_orm_query_classic_style_w_cache(n):
"""classic ORM query of the full entity, using cache"""
cache = {}
session = Session(bind=engine.execution_options(compiled_cache=cache))
for id_ in random.sample(ids, n):
session.query(Customer).filter(Customer.id == id_).one()
@Profiler.profile
def test_orm_query_new_style(n):
"""new style ORM select() of the full entity, no cache."""
session = Session(bind=engine)
for id_ in random.sample(ids, n):
stmt = future_select(Customer).where(Customer.id == id_)
session.execute(stmt).scalar_one()
@Profiler.profile
def test_orm_query_new_style_cache(n):
"""new style ORM select() of the full entity, using cache."""
cache = {}
session = Session(bind=engine.execution_options(compiled_cache=cache))
for id_ in random.sample(ids, n):
stmt = future_select(Customer).where(Customer.id == id_)
session.execute(stmt).scalar_one()
@Profiler.profile
def test_orm_query_classic_style_cols_only(n):
"""classic ORM query against columns, no cache"""
session = Session(bind=engine)
for id_ in random.sample(ids, n):
session.query(Customer.id, Customer.name, Customer.description).filter(
Customer.id == id_
).one()
@Profiler.profile
def test_orm_query_classic_style_cols_only_cache(n):
"""classic ORM query against columns, using cache"""
cache = {}
session = Session(bind=engine.execution_options(compiled_cache=cache))
for id_ in random.sample(ids, n):
session.query(Customer.id, Customer.name, Customer.description).filter(
Customer.id == id_
).one()
@Profiler.profile
def test_core_new_stmt_each_time(n):
"""test core, creating a new statement each time, no cache"""
with engine.connect() as conn:
for id_ in random.sample(ids, n):
stmt = select(Customer.__table__).where(Customer.id == id_)
row = conn.execute(stmt).first()
tuple(row)
@Profiler.profile
def test_core_new_stmt_each_time_compiled_cache(n):
"""test core, creating a new statement each time, using cache"""
compiled_cache = {}
with engine.connect().execution_options(
compiled_cache=compiled_cache
) as conn:
for id_ in random.sample(ids, n):
stmt = select(Customer.__table__).where(Customer.id == id_)
row = conn.execute(stmt).first()
tuple(row)
@Profiler.profile
def test_core_reuse_stmt(n):
"""test core, reusing the same statement, no cache"""
stmt = select(Customer.__table__).where(Customer.id == bindparam("id"))
with engine.connect() as conn:
for id_ in random.sample(ids, n):
row = conn.execute(stmt, {"id": id_}).first()
tuple(row)
@Profiler.profile
def test_core_reuse_stmt_compiled_cache(n):
"""test core, reusing the same statement, using cache"""
stmt = select(Customer.__table__).where(Customer.id == bindparam("id"))
compiled_cache = {}
with engine.connect().execution_options(
compiled_cache=compiled_cache
) as conn:
for id_ in random.sample(ids, n):
row = conn.execute(stmt, {"id": id_}).first()
tuple(row)
if __name__ == "__main__":
Profiler.main()