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import warnings
warnings.filterwarnings("ignore", r".*Decimal objects natively")
# speed up cdecimal if available
try:
import cdecimal
import sys
sys.modules['decimal'] = cdecimal
except ImportError:
pass
from sqlalchemy import __version__
from sqlalchemy import Column, Integer, create_engine, ForeignKey, \
String, Numeric
from sqlalchemy.orm import Session, relationship
from sqlalchemy.ext.declarative import declarative_base
import random
import os
from decimal import Decimal
Base = declarative_base()
class Employee(Base):
__tablename__ = 'employee'
id = Column(Integer, primary_key=True)
name = Column(String(100), nullable=False)
type = Column(String(50), nullable=False)
__mapper_args__ = {'polymorphic_on': type}
class Boss(Employee):
__tablename__ = 'boss'
id = Column(Integer, ForeignKey('employee.id'), primary_key=True)
golf_average = Column(Numeric)
__mapper_args__ = {'polymorphic_identity': 'boss'}
class Grunt(Employee):
__tablename__ = 'grunt'
id = Column(Integer, ForeignKey('employee.id'), primary_key=True)
savings = Column(Numeric)
employer_id = Column(Integer, ForeignKey('boss.id'))
employer = relationship("Boss", backref="employees",
primaryjoin=Boss.id == employer_id)
__mapper_args__ = {'polymorphic_identity': 'grunt'}
if os.path.exists('orm2010.db'):
os.remove('orm2010.db')
# use a file based database so that cursor.execute() has some
# palpable overhead.
engine = create_engine('sqlite:///orm2010.db')
Base.metadata.create_all(engine)
sess = Session(engine)
def runit(status, factor=1, query_runs=5):
num_bosses = 100 * factor
num_grunts = num_bosses * 100
bosses = [
Boss(
name="Boss %d" % i,
golf_average=Decimal(random.randint(40, 150))
)
for i in range(num_bosses)
]
sess.add_all(bosses)
status("Added %d boss objects" % num_bosses)
grunts = [
Grunt(
name="Grunt %d" % i,
savings=Decimal(random.randint(5000000, 15000000) / 100)
)
for i in range(num_grunts)
]
status("Added %d grunt objects" % num_grunts)
while grunts:
# this doesn't associate grunts with bosses evenly,
# just associates lots of them with a relatively small
# handful of bosses
batch_size = 100
batch_num = (num_grunts - len(grunts)) / batch_size
boss = sess.query(Boss).\
filter_by(name="Boss %d" % batch_num).\
first()
for grunt in grunts[0:batch_size]:
grunt.employer = boss
grunts = grunts[batch_size:]
sess.commit()
status("Associated grunts w/ bosses and committed")
# do some heavier reading
for i in range(query_runs):
status("Heavy query run #%d" % (i + 1))
report = []
# load all the Grunts, print a report with their name, stats,
# and their bosses' stats.
for grunt in sess.query(Grunt):
report.append((
grunt.name,
grunt.savings,
grunt.employer.name,
grunt.employer.golf_average
))
sess.close() # close out the session
def run_with_profile(runsnake=False, dump=False):
import cProfile
import pstats
filename = "orm2010.profile"
if os.path.exists("orm2010.profile"):
os.remove("orm2010.profile")
def status(msg):
print(msg)
cProfile.runctx('runit(status)', globals(), locals(), filename)
stats = pstats.Stats(filename)
counts_by_methname = dict((key[2], stats.stats[key][0]) for key in stats.stats)
print("SQLA Version: %s" % __version__)
print("Total calls %d" % stats.total_calls)
print("Total cpu seconds: %.2f" % stats.total_tt)
print('Total execute calls: %d' \
% counts_by_methname["<method 'execute' of 'sqlite3.Cursor' "
"objects>"])
print('Total executemany calls: %d' \
% counts_by_methname.get("<method 'executemany' of 'sqlite3.Cursor' "
"objects>", 0))
if dump:
stats.sort_stats('time', 'calls')
stats.print_stats()
if runsnake:
os.system("runsnake %s" % filename)
def run_with_time():
import time
now = time.time()
def status(msg):
print("%d - %s" % (time.time() - now, msg))
runit(status, 10)
print("Total time: %d" % (time.time() - now))
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--profile', action='store_true',
help='run shorter test suite w/ cprofilng')
parser.add_argument('--dump', action='store_true',
help='dump full call profile (implies --profile)')
parser.add_argument('--runsnake', action='store_true',
help='invoke runsnakerun (implies --profile)')
args = parser.parse_args()
args.profile = args.profile or args.dump or args.runsnake
if args.profile:
run_with_profile(runsnake=args.runsnake, dump=args.dump)
else:
run_with_time()
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