Files
sqlalchemy/examples/performance/short_selects.py
T
Federico Caselli e860060866 Update select usage to use the new 1.4 format
This change includes mainly that the bracketed use within
select() is moved to positional, and keyword arguments are
removed from calls to the select() function.  it does not
yet fully address other issues such as keyword arguments passed
to the table.select().

Additionally, allows False / None to both be considered
as "disable" for all of select.correlate(), select.correlate_except(),
query.correlate(), which establishes consistency with
passing of ``False`` for the legact select(correlate=False)
argument.

Change-Id: Ie6c6e6abfbd3d75d4c8de504c0cf0159e6999108
2020-09-08 17:13:48 -04:00

209 lines
5.8 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 Integer
from sqlalchemy import select
from sqlalchemy import String
from sqlalchemy.ext import baked
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 sqlalchemy.sql import lambdas
from . import Profiler
Base = declarative_base()
engine = None
ids = range(1, 11000)
class Customer(Base):
__tablename__ = "customer"
id = Column(Integer, 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)
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."""
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_new_style(n):
"""new style ORM select() of the full entity."""
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_using_embedded_lambdas(n):
"""new style ORM select() of the full entity w/ embedded lambdas."""
session = Session(bind=engine)
for id_ in random.sample(ids, n):
stmt = future_select(lambda: Customer).where(
lambda: Customer.id == id_
)
session.execute(stmt).scalar_one()
@Profiler.profile
def test_orm_query_new_style_using_external_lambdas(n):
"""new style ORM select() of the full entity w/ external lambdas."""
session = Session(bind=engine)
for id_ in random.sample(ids, n):
stmt = lambdas.lambda_stmt(lambda: future_select(Customer))
stmt += lambda s: s.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"""
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_new_style_ext_lambdas_cols_only(n):
"""new style ORM query w/ external lambdas against columns."""
s = Session(bind=engine)
for id_ in random.sample(ids, n):
stmt = lambdas.lambda_stmt(
lambda: future_select(
Customer.id, Customer.name, Customer.description
)
) + (lambda s: s.filter(Customer.id == id_))
s.execute(stmt).one()
@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 = bakery(lambda s: s.query(Customer))
q += lambda q: q.filter(Customer.id == bindparam("id"))
q(s).params(id=id_).one()
@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 = bakery(
lambda s: s.query(Customer.id, Customer.name, Customer.description)
)
q += lambda q: q.filter(Customer.id == bindparam("id"))
q(s).params(id=id_).one()
@Profiler.profile
def test_core_new_stmt_each_time(n):
"""test core, creating a new statement each time."""
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, but using the 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 (but recompiling each time)."""
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 + compiled 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()