def main():
# large data DB example
car_count = 250_000
owner_count = 100_000
# simple DB example
# car_count = 200
# owner_count = 100
mongo_setup.init()
clear_db()
t0 = datetime.now()
fake = create_faker_and_seed()
owners = create_owners(fake, count=owner_count)
print("Created {:,.0f} owners".format(len(owners)))
cars = create_cars(count=car_count)
print("Created {:,.0f} cars".format(len(cars)))
if cars and owners:
add_cars_to_owners(owners, cars)
create_service_records(cars, fake)
dt = datetime.now() - t0
print("Done in {} sec".format(dt.total_seconds()))
def main():
# large data DB example
car_count = 250_000
owner_count = 100_000
# simple DB example
# car_count = 200
# owner_count = 100
mongo_setup.init()
clear_db()
t0 = datetime.now()
fake = create_faker_and_seed()
owners = create_owners(fake, count=owner_count)
print("Created {:,.0f} owners".format(len(owners)))
cars = create_cars(count=car_count)
print("Created {:,.0f} cars".format(len(cars)))
if cars and owners:
add_cars_to_owners(owners, cars)
create_service_records(cars, fake)
dt = datetime.now() - t0
print("Done in {} sec".format(dt.total_seconds()))
def main():
mongo_setup.init()
print("Computing stats, this WILL take awhile...", flush=True)
cars = list(Car.objects())
print("There are {:,} cars.".format(len(cars)))
owners = list(Owner.objects())
print("There are {:,} owners.".format(len(owners)))
owned_cars = sum((len(o.car_ids) for o in owners))
print("Each owner owns an average of {:.2f} cars.".format(owned_cars / len(owners)))
service_histories = sum((len(c.service_history) for c in cars))
print("There are {:,} service histories.".format(service_histories))
print("Each car has an average of {:.2f} service records.".format(service_histories / len(cars)))
def main():
mongo_setup.init()
print("Computing stats, this WILL take awhile...", flush=True)
cars = list(Car.objects())
print("There are {:,} cars.".format(len(cars)))
owners = list(Owner.objects())
print("There are {:,} owners.".format(len(owners)))
owned_cars = sum((len(o.car_ids) for o in owners))
print("Each owner owns an average of {:.2f} cars.".format(owned_cars /
len(owners)))
service_histories = sum((len(c.service_history) for c in cars))
print("There are {:,} service histories.".format(service_histories))
print("Each car has an average of {:.2f} service records.".format(
service_histories / len(cars)))
from nosql.car import Car
from nosql.owner import Owner
from datetime import datetime
import nosql.mongo_setup as mongo_setup
def timed(msg, func):
t0 = datetime.now()
func()
dt = datetime.now() - t0
print("{} Time: {:,.3f} ms".format(msg, dt.total_seconds() * 1000.0), flush=True)
mongo_setup.init()
print("Time to ask some questions")
timed(
'How many owners?',
lambda: Owner.objects().filter().count()
)
timed(
'How many cars?',
lambda: Owner.objects().filter().count()
)
timed(
'Find the 10,000th owner by name?',
lambda: Owner.objects().order_by('name')[10000:10001][0]
