Files
sqlalchemy/test/perf/objselectspeed.py
T
Mike Bayer 20cdc64588 trying different approaches to test layout. in this one, the testing modules
become an externally usable package but still remains within the main sqlalchemy parent package.
in this system, we use kind of an ugly hack to get the noseplugin imported outside of the
"sqlalchemy" package, while still making it available within sqlalchemy for usage by
third party libraries.
2012-09-27 02:37:33 -04:00

147 lines
4.1 KiB
Python

import time, resource
from sqlalchemy import *
from sqlalchemy.orm import *
from sqlalchemy.testing.util import gc_collect
from sqlalchemy.testing import profiling
db = create_engine('sqlite://')
metadata = MetaData(db)
Person_table = Table('Person', metadata,
Column('id', Integer, primary_key=True),
Column('type', String(10)),
Column('name', String(40)),
Column('sex', Integer),
Column('age', Integer))
Employee_table = Table('Employee', metadata,
Column('id', Integer, ForeignKey('Person.id'), primary_key=True),
Column('foo', String(40)),
Column('bar', Integer),
Column('bat', Integer))
class RawPerson(object): pass
class Person(object): pass
mapper(Person, Person_table)
class JoinedPerson(object):pass
class Employee(JoinedPerson):pass
mapper(JoinedPerson, Person_table, \
polymorphic_on=Person_table.c.type, polymorphic_identity='person')
mapper(Employee, Employee_table, \
inherits=JoinedPerson, polymorphic_identity='employee')
compile_mappers()
def setup():
metadata.create_all()
i = Person_table.insert()
data = [{'name':'John Doe','sex':1,'age':35, 'type':'employee'}] * 100
for j in xrange(500):
i.execute(data)
# note we arent fetching from employee_table,
# so we can leave it empty even though its "incorrect"
#i = Employee_table.insert()
#data = [{'foo':'foo', 'bar':'bar':'bat':'bat'}] * 100
#for j in xrange(500):
# i.execute(data)
print "Inserted 50,000 rows"
def sqlite_select(entity_cls):
conn = db.connect().connection
cr = conn.cursor()
cr.execute("SELECT id, name, sex, age FROM Person")
people = []
for row in cr.fetchall():
person = entity_cls()
person.id = row[0]
person.name = row[1]
person.sex = row[2]
person.age = row[3]
people.append(person)
cr.close()
conn.close()
def sql_select(entity_cls):
people = []
for row in Person_table.select().execute().fetchall():
person = entity_cls()
person.id = row['id']
person.name = row['name']
person.sex = row['sex']
person.age = row['age']
people.append(person)
#@profiling.profiled(report=True, always=True)
def orm_select():
session = create_session()
people = session.query(Person).all()
#@profiling.profiled(report=True, always=True)
def joined_orm_select():
session = create_session()
people = session.query(JoinedPerson).all()
def all():
setup()
try:
t, t2 = 0, 0
def usage(label):
now = resource.getrusage(resource.RUSAGE_SELF)
print "%s: %0.3fs real, %0.3fs user, %0.3fs sys" % (
label, t2 - t,
now.ru_utime - usage.last.ru_utime,
now.ru_stime - usage.last.ru_stime)
usage.snap(now)
usage.snap = lambda stats=None: setattr(
usage, 'last', stats or resource.getrusage(resource.RUSAGE_SELF))
gc_collect()
usage.snap()
t = time.clock()
sqlite_select(RawPerson)
t2 = time.clock()
usage('sqlite select/native')
gc_collect()
usage.snap()
t = time.clock()
sqlite_select(Person)
t2 = time.clock()
usage('sqlite select/instrumented')
gc_collect()
usage.snap()
t = time.clock()
sql_select(RawPerson)
t2 = time.clock()
usage('sqlalchemy.sql select/native')
gc_collect()
usage.snap()
t = time.clock()
sql_select(Person)
t2 = time.clock()
usage('sqlalchemy.sql select/instrumented')
gc_collect()
usage.snap()
t = time.clock()
orm_select()
t2 = time.clock()
usage('sqlalchemy.orm fetch')
gc_collect()
usage.snap()
t = time.clock()
joined_orm_select()
t2 = time.clock()
usage('sqlalchemy.orm "joined" fetch')
finally:
metadata.drop_all()
if __name__ == '__main__':
all()