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"""This series of tests illustrates different ways to SELECT a single
record by primary key
"""
from . import Profiler
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, create_engine, \
bindparam, select
from sqlalchemy.orm import Session, deferred
from sqlalchemy.ext import baked
import random
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(n):
"""test a straight 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_cols_only(n):
"""test an ORM query of only the entity 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_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_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."""
compiled_cache = {}
stmt = select([Customer.__table__]).where(Customer.id == bindparam('id'))
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()
|
